3351 Data Science Jobs - Page 31

Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with SQL, Excel, Tableau/ Power BI, PowerPoint Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on

Job Title: Data Scientist Location: Bangalore Type: Full-time (On-site) Experience: 3-6 years About the Role: We are looking for a skilled Data Scientist to lead our marketing analytics and customer journey modelling initiatives. This role will be pivotal in measuring the effectiveness of marketing campaigns, understanding user behaviour across touchpoints, and delivering insights to improve business outcomes. You will collaborate closely with marketing, growth, and data engineering teams to develop data-driven frameworks, enhance channel performance, and support strategic decision-making. Key Responsibilities: Develop and implement advanced analytical models to assess the effectiveness of various marketing channels and campaigns. Apply statistical, probabilistic, and machine learning methods to model user behaviour and conversion patterns. Work with large-scale marketing datasets, including impressions, clicks, conversions, and engagement metrics. Collaborate with marketing teams to optimize channel efficiency, campaign targeting, and user segmentation. Design and execute controlled experiments and A/B tests to validate model outputs and strategic initiatives. Automate data pipelines and model outputs to deliver real-time performance tracking and insights. Create intuitive dashboards, visualizations, and documentation to communicate insights and support business stakeholders. Qualifications: 3-6 years of experience in data science, marketing analytics, or customer journey analysis. Proficiency in Python, SQL, and commonly used data science libraries (e.g., pandas, NumPy, scikit-learn). Strong understanding of statistical modelling techniques such as logistic regression, time series analysis, and survival models. Experience with machine learning approaches for classification, segmentation, and recommendation. Solid grasp of digital marketing ecosystems and user engagement metrics. Hands-on experience with experimentation design, A/B testing, and lift analysis. Excellent problem-solving and communication skills with a strong product and data-driven mindset.

JOB OVERVIEW: The Data Analytics and Insights Manager will play a pivotal role in driving data-driven decision-making by utilizing advanced analytics, artificial intelligence (AI), and machine learning techniques. This role will focus on leveraging technology to automate data extraction, generate actionable insights, and provide predictive analytics that will support business growth,. The ideal candidate will be responsible for leveraging technology to automate data integration from diverse sources, mining data to identify key trends, and delivering strategic insights that drive the optimization of marketing and sales strategies. KEY STAKEHOLDERS: INTERNAL Senior Sales Leadership, Marketing Team and Commercial Teams KEY STAKEHOLDERS: EXTERNAL : External Data Providers, Market Research agencies REPORTING STRUCTURE: Reports to Head Strategic Marketing ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred. RELEVANT EXPERIENCE: Minimum of 2+ years in data analytics, business intelligence, or related fields. Proficiency in predictive analytics, machine learning, and data science techniques. Experience with Salesforce, CRM systems, and data extraction technologies. Familiarity with the Pharma domain is an advantage. Knowledge of Marketo is a plus. Key Roles/Responsibilities KEY ROLES/RESPONSIBILITIES: Data Extraction & Automation: Use advanced data extraction techniques, including automation tools and web scraping, to gather critical data on market trends, Drive automation initiatives to streamline data collection processes and increase efficiency Predictive Analytics & Insights Generation: Leverage machine learning and AI-driven algorithms to analyze historical and current data to predict future trends and sales opportunities. Provide actionable insights to enhance lead generation, conversion rates, and overall business performance. Competitor & Market Trend Analysis: Conduct ongoing competitor analysis using automated tools to extract competitive intelligence. Generate market trend insights, helping the business to stay competitive and refine its strategy in response to external changes. Salesforce Data Analytics: Utilize Salesforce data and other integrated platforms to perform deep data analysis, track sales performance, and generate insights that drive sales team effectiveness. Automate data flow and reporting processes within Salesforce to ensure real-time, actionable insights. Collaboration with Sales and Marketing Teams: Work closely with the Inside Sales and Marketing teams to identify key performance indicators (KPIs) and analytics that support lead generation, sales optimization, and marketing strategies. Provide data-driven recommendations to drive decision-making and improve marketing campaigns. Advanced Reporting & Visualization Design and implement interactive dashboards and reports using tools like Power BI, Tableau, or Qlik. Create and deliver professional PowerPoint presentations summarizing key findings and actionable recommendations . Support Inside Sales Efforts: Use data insights to optimize inside sales strategies, ensuring that the sales team has access to high-quality leads and relevant market data. Conduct segmentation analysis, targeting, and scoring to improve sales efficiency. Key Competencies Advanced Data Analytics Skills: Strong background in data analytics, predictive modeling, and machine learning. Ability to apply statistical and algorithmic methods to analyze and predict trends. Technical Proficiency: Expertise in data extraction, automation, AI, and machine learning platforms. Proficiency in tools such as Python, R, SQL, and cloud platforms for large-scale data processing and analysis. Salesforce Experience: Proficiency in analyzing and leveraging Salesforce data to extract business insights, enhance lead generation, and optimize sales processes. Automation & Web Scraping : Expertise in using automation tools and web scraping techniques to collect data from external sources and industry reports. Business Acumen & Insight Generation: Strong ability to translate data insights into actionable business strategies, particularly to optimize sales, marketing, and competitive positioning Responsibilities Qualifications ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred.

Key Responsibilities. Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation.. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems.. Develop tools and scripts to support model monitoring, logging, and retraining workflows.. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption.. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring.. Contribute to the development of a feature store and standardized processes to support reproducible data science.. Required Skills & Experience. 1-3 years of hands-on experience in Python programming for data science or ML engineering tasks.. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring.. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc.. Familiarity with ETL pipelines and data transformation best practices.. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins.. Strong analytical mindset with the ability to interpret and debug data/model issues.. Preferred Qualifications. Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar.. Knowledge of ML lifecycle tools (e.g., MLflow, Ray).. Familiarity with cloud platforms (AWS preferred) and scalable infrastructure..

About Velocity : - Velocity is building the future of financial services for new-age businesses in India. Our vision is to build products that empower new age businesses by solving multiple growth problems for them. Velocity is Indias largest Revenue Based Financing (RBF) platform. RBF is a new kind of financing where businesses can raise funds based on the ongoing and future revenues. We work directly with over 5000 brands in the country and have currently 1000+ brands live on our portal benefiting and growing with RBF capital. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the mission to empower small business owners with technology and dramatically improve their access to financial services. We have raised a total of $30M across 2 rounds of funding and are backed by some of the most marquee global investors including Peter Thiel's Valar Ventures. About Velocity AI Labs : - Velocitys AI labs is a vertical to leverage AI led solutions for internal Velocity use cases and then deploy them at large scale across the industry. We have started with Vani AI an AI powered super-agent designed to emulate human phone calls. Vani AI delivers outstanding performance by tackling several technical challenges like local language understanding, interruption handling, background noise removal, high conversational accuracy, and super low response latency. While this is the starting hook product, we aim to launch multiple products leveraging AI to solve for emerging use cases while improving our voice agent to cover major finance and e-commerce use cases. Job Overview We are seeking a Lead Data Analyst ( Data Analytics & Data Science ) to own and drive all analytics initiatives for our organization. In this role, you will lead a diverse team of analysts and data engineers, develop and deliver analytics-based products across multiple business verticals, and champion data-driven decision-making to move the needle on key performance metrics. The ideal candidate has a strong background in data strategy, team leadership, and technical expertise to translate complex insights into measurable business impact. Key Responsibilities Analytics Leadership Define and execute the overall analytics vision and strategy, aligned with company objectives. Prioritize and oversee analytics initiatives across business functions to maximize impact on revenue, product development, and customer experience. Team Management Recruit, mentor, and manage a high-performing team of data analysts and data engineers. Foster a data-driven culture through regular knowledge-sharing, training, and best practices adoption. Product & Project Ownership Lead the development of analytics-based products and solutions across all verticals, from conceptualization to deployment. Collaborate with product, engineering, and business stakeholders to ensure seamless delivery and alignment with strategic goals. Data-Driven Solutions Identify areas for improvement and implement analytical solutions that optimize processes, reduce costs, and drive growth. Drive the adoption of predictive modeling, machine learning, and advanced analytics methodologies to support real-time decision-making. Performance Measurement & Reporting Establish KPIs and dashboards that provide actionable insights for leadership and cross-functional teams. Ensure data quality, consistency, and reliability across all analytics outputs. Strategic Influence Partner with senior leadership to incorporate analytics into broader business strategies and objectives. Communicate insights and recommendations effectively to key stakeholders, translating complex data into clear, actionable steps. Requirements Educational Background Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. MBA or advanced degree in analytics is a plus. Professional Experience 4-8 years of experience in analytics, data science, or business intelligence. Experience in analytics consulting and/or high growth startup is mandatory. Proven track record of leading and scaling data teams in fast-paced or high-growth environments. Technical & Analytical Skills Strong proficiency in SQL, Python/R, and data visualization tools (Tableau, Power BI, Looker, Metabase etc.). Experience architecting data pipelines, databases, and data warehousing solutions in collaboration with engineering teams. Hands-on familiarity with statistical analysis, machine learning models, and predictive analytics. Leadership & Communication Demonstrated ability to build, mentor, and manage cross-functional teams, including analysts and data engineers. Excellent communication and presentation skills, capable of influencing senior stakeholders with data-backed insights. Strategic Mindset Strong business acumen, with the capacity to link data initiatives to business outcomes and ROI. Innovative & Results-Driven Proven success in defining and delivering analytics projects that have a meaningful impact on organizational growth and performance. Agile approach to problem-solving, comfortable iterating and pivoting based on findings. If you’re passionate about building and scaling data-driven organizations, and you thrive on turning analytical insights into strategic action, we’d love to hear from you!

Job OverviewBranch launched in India in 2019 and has seen rapid adoption and growth. As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data.We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals.ResponsibilitiesData Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy.QualificationsExperience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

Job OverviewBranch launched in India in 2019 and has seen rapid adoption and growth. As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data.We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals.ResponsibilitiesData Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy.QualificationsExperience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals.ResponsibilitiesData Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy.QualificationsExperience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

Company RNTBCI PL Job Description Experience : 3- 5 Years Experience Python : good developing skills in general. Able to support teams with poetry, pytest, ruff GCP services : Bigquery, GCS, vertex AI (model registry, pipelines, endpoints) Good practices of software engineering: unit-testing and acceptance-testing, code formatting, linting, pre-commit checks Git : able to work with teams using git, GitLab CI/CD (CI, settings, . . ) ML : able to support clients understanding their ml frameworks (mostly : Scikit-learn, XGboost, to a lesser extend TensorFlow) Understanding of supervised and unsupervised learning specificities Data processing : able to support clients with SQL Bigquery, pandas, Good communication skills Job Family Information Technologies & Systems Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group Privacy Policy .

Roles & Responsibilities : Machine Learning & Data Science: Develop and implement advanced statistical models, predictive analytics, and optimization frameworks . Research, develop, and apply ML, Deep Learning, and AI techniques on large datasets. Conduct exploratory data analysis (EDA) and apply feature engineering techniques. Optimize and tune ML models for performance, scalability, and accuracy. Large Language Models (LLMs) & NLP: Fine-tune and customize LLMs (GPT, LLaMA, Falcon, etc. ) for enterprise use cases. Implement Retrieval Augmented Generation (RAG) pipelines for chatbots and knowledge retrieval. Work with vector databases for semantic search . Deploy LLM-powered applications for document summarization, sentiment analysis, and automation . AI & Data-Driven Business Insights: Translate complex AI/ML models into actionable business insights . Partner with stakeholders to define data requirements and ensure the right data is captured . Develop proof-of-concept solutions demonstrating AI and ML capabilities. Deployment & MLOps: Deploy AI/ML models using cloud technologies (Azure, AWS, GCP) . Work with Docker, Kubernetes, and CI/CD pipelines for scalable ML deployment. Continuous Learning & Innovation: Stay updated with the latest trends in AI, LLMs, GenAI, and cloud-based ML platforms .

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Experience with programming languages such as Python or R. More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities. Additional Information You inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.

Key Responsibilities: - Gather and extract data from various databases and sources, ensuring data quality and consistency. - Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives. - Develop predictive models and algorithms to address complex business challenges and forecast outcomes. - Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives. To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity - Design and implement automated dashboards and reporting systems to streamline data insights and accessibility. - Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies. - Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support. - Present findings and recommendations to senior leadership in a clear, concise, and impactful manner. - Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals. - Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation. Qualifications: - Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience in data science, analytics, or a similar role, with at least 4-5 years in a leadership or managerial position. - Proven experience in building and deploying machine learning models and automated solutions. Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Strong SQL skills and experience with data querying and transformation. - Familiarity with big data technologies like Hadoop, Spark, or AWS. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow). Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. - Ability to work collaboratively in a team environment and lead projects with minimal supervision. Preferred Qualifications: - Experience in creating real-time data pipelines and automated alert systems. - Understanding of data governance and compliance practices. - Prior experience in aviation or a customer-centric or high-growth industry is a plus. "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status"

Data scientist role 6+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Call on 7042331616 or drop cv on supreetbakshi@imaginators.co

Job description Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW : Role: Data ScientistIndustry Type: IT Services & ConsultingDepartment: Data Science & AnalyticsEmployment Type: Full Time, PermanentRole Category: Data Science & Machine Learning EducationUG: Any GraduateKe

Requirement : Bachelor's Degree in Computer Science, Operations Research, Statistics, or related field. Knowledge of R, or Python Knowledge of building regression and classification models Familiarity with any or all of, Regularization methods: Lasso, Ridge Ensemble methods: Random Forest, Boosting Time Series analysis: Auto-regression, moving average, etc. Graphs modeling Support Vector Machines Decision trees Preferred : Master's or higher degrees. Industry experience in the field of Data Science. Participation in competitions like Kaggle, Netflix Data Challenge. Open source contributions in areas of Data Science (Machine Learning, Deep Learning, Statistical Learning). Worked on Scala and/or Spark. Understanding of generative AI concepts, such as transformers, diffusion models, and LLMs

We are seeking a skilled and passionate Python Machine Learning Developer to join our team. In this role, you will be responsible for designing, developing, and implementing machine learning models and data pipelines using Python. You will work closely with our data science and product teams to turn data into actionable insights.

Design, develop, and implement data solutions using Azure Data Stack components. Write and optimize advanced SQL queries for data extraction, transformation, and analysis. Develop data processing workflows and ETL processes using Python and PySpark.

Job Description: We, at Jet2 (UK’s third largest airlines and the largest tour operator), have set up a state-of-the-art Technology and Innovation Centre in Pune, India. The Lead Visualisation Developer will join our growing Data Visualisation team with delivering impactful data visualisation projects (using Tableau) whilst leading the Jet2TT visualisation function. The team currently works with a range of departments including Pricing & Revenue, Overseas Operations and Contact Centre. This new role provides a fantastic opportunity to represent visualisation to influence key business decisions. As part of the wider Data function, you will be working alongside Data Engineers, Data Scientists and Business Analysts to understand and gather requirements. In the role, you will be scoping visualisation projects, to deliver or delegate to members of the team, ensuring they have everything need to start development whilst guiding them through visualisation delivery. You will also support our visualisation Enablement team by supporting with the release of new Tableau features. Roles and Responsibilities What you’ll be doing: The successful candidate will work independently on data visualisation projects with zero or minimal guidance, the incumbent is expected to operate out of Pune location and collaborate with various stakeholders in Pune, Leeds, and Sheffield. Representing visualisation during project scoping. Working with Business Analysts and Product Owners to understand and scope requirements. Working with Data Engineers and Architects to ensure data models are fit visualisation. Developing Tableau dashboards from start to finish, using Tableau Desktop / Cloud – from gathering requirements, designing dashboards, and presenting to internal stakeholders. Presenting visualisations to stakeholders. Supporting and guiding members of the team through visualisation delivery. Supporting feature releases for Tableau. Teaching colleagues about new Tableau features and visualisation best practices. What you’ll have Extensive experience in the use of Tableau, evidenced by a strong Tableau Public portfolio. Expertise in the delivery of data visualisation Experience in r equirements gathering and presenting visualisations to internal stakeholders. Strong understanding of data visualisation best practices Experience of working in Agile Scrum framework to deliver high quality solutions. Strong communication skills – Written & Verbal Knowledge of the delivery of Data Engineering and Data Warehousing to Cloud Platforms. Knowledge of or exposure to Cloud Data Warehouse platforms (Snowflake Preferred) Knowledge and experience of working with a variety of databases (e.g., SQL).

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 5 years of dedicated experience in various data science-related roles in the industry. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

We are looking for a highly skilled Full Stack Developer with expertise in .NET Core and React.js to design, develop, and deploy robust, scalable, and cloud-native applications. The ideal candidate will have a strong understanding of backend and frontend technologies, experience with Microsoft Azure, and a passion for building high-quality software in a collaborative environment. Key Responsibilities: Design, develop, and maintain scalable web applications using .NET Core (backend) and React.js (frontend). Build and integrate RESTful APIs, services, and microservices. Develop and deploy cloud-native applications leveraging Microsoft Azure services such as Azure Functions, App Services, Azure DevOps, and Blob Storage. Collaborate with cross-functional teams including UI/UX designers, product managers, and fellow developers to deliver efficient, user-friendly solutions. Write clean, maintainable, and testable code adhering to industry best practices. Conduct code reviews, enforce coding standards, and mentor junior developers. Ensure application performance, reliability, scalability, and security. Actively participate in Agile/Scrum ceremonies and contribute to team discussions and continuous improvement. Required Skills: Strong experience with .NET Core / ASP.NET Core (Web API, MVC). Proficiency in React.js, JavaScript/TypeScript, HTML5, and CSS3. Solid experience with Microsoft Azure services (e.g., App Services, Azure Functions, Key Vault, Azure DevOps). Hands-on experience with Entity Framework Core, LINQ, and SQL Server. Familiarity with Git, CI/CD pipelines, and modern DevOps practices. Strong understanding of software design patterns, SOLID principles, and clean code methodologies. Basic knowledge of containerization tools like Docker. Nice to Have: Experience with Azure Kubernetes Service (AKS) or Azure Logic Apps. Familiarity with unit testing frameworks (xUnit, NUnit). Exposure to Agile/Scrum methodologies and tools like Jira or Azure Boards.

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

1.2–4 years of experience in data science and machine learning using Python. 2.Strong knowledge of libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch. 3.Hands-on experience with LLMs, NLP tasks, and fine-tuning/pretraining models. Required Candidate profile 1.Familiarity with AI/ML deployment and performance tuning. 2.Experience working with REST APIs, JSON, and integration of ML models into applications.

Role: Sr. Data Scientist - Data Scientist Relevant Experience: 7 Years Key Responsibilities - Bachelor's or Master's Degree in Computer Science, IT Engineering, or related fields. Overall 8+ years and Minimum of 2+ years of experience in delivering AI-powered products, with at least 2 years of dedicated Product Management experience. At least 1 years of experience with GPT/ LLM model development, including pre-processing, feature selection, and hyper-parameter tuning Experience working on Agentic AI solutioning , Develop and train GPT/LLM models to generate natural language text for various applications such as chatbots, question-answering systems, and recommendation engines. Hands on Experience in Graph RAG and agentic AI Hands on experience on Autogen and copilot agents Collaborate with cross-functional teams to define product requirements and develop use cases for GPT/LLM models. Conduct data analysis, pre-processing, feature engineering and model selection to create accurate models in a timely and efficient manner. Continuously monitor the accuracy and performance of the models, and iterate to improve the model's performance based on feedback. Strong analytical, strategic thinking, leadership, problem-solving, and project management skills. Exceptional attention to detail, combined with the ability to think innovatively and address challenges at both macro and micro levels.Defining the vision for the Data / AI use with senior leaders for the medium and long term. Share, update and align the vision of the use cases with senior stakeholders to act as the clear guide path for adoption and growth.

Role : Data scientist Exp : 5 - 8 Years Location : Pune,Chennai Notice period:30 Days Key Skill /Skill Specialization Data Scientist Mandatory Skills Data Scientist with expertise in Classic ML, Computer Vision, Deep Learning, and Large Language Models (LLMs), Python Desired Skills Exposure to GIT, GitHub actions, NPM, Yarn, Knowledge of Cloud will be a plus Knowledge of data pipelines Exposure to Postgres Prior exp of Oil & Gas Exp of working in Agile project" Job Description : "The ideal candidate will be passionate about solving complex problems and driving innovation through advanced AI techniques. 1. Develop and Deploy ML Models: - Implement and deploy machine learning models, including regression, classification, and clustering algorithms. - Design and train models to provide actionable insights from large datasets. 2. Integrate Advanced Technologies: - Enhance product offerings by integrating Computer Vision techniques such as image processing, convolutional neural networks (CNNs), and object detection. - Apply Deep Learning methodologies, including neural networks, recurrent neural networks (RNNs), and generative adversarial networks (GANs). - Experiment with Large Language Models (LLMs) for natural language processing tasks, utilizing transformer-based models like BERT, GPT, and T5. 3. Collaborate with Cross-Functional Teams: - Work closely with product managers, engineers, and domain experts to translate business requirements into technical solutions. - Participate in brainstorming sessions and contribute to the ideation of new AI-driven features. 4. Mentorship and Knowledge Sharing: - Guide and mentor junior data scientists, fostering a culture of continuous learning and knowledge exchange. Need to work in challenging agile model. Should have very good communication skills Experience of working in Agile based projects" Interested candidates can share their updated CV to pravallika@wrootsglobal.in

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a technically minded, detail oriented and creative Senior Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Collaborate with a small, agile team to research and implement effective NLP algorithms and tools. Contribute to the design, development, and delivery of NLP applications from concept to production. Analyze data science prototypes and ensure they meet business requirements. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 5+ years of professional experience in NLP using Python, with knowledge of Spacy and Hugging Face. Strong understanding of NLP techniques and experience in Generative AI application development. Familiarity with machine learning frameworks, including TensorFlow, Keras, and PyTorch. Experience in developing scalable backend microservices in AWS. Ability to translate complex data findings into actionable business insights. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.