1345 Data Scientist Jobs - Page 6

Overview: Dozee Health AI is a pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale Headquartered in Bengaluru, India, Dozee has emerged as Indias no 1 RPM Company, We are seeking visionary individuals to help us in this very exciting journey As a part of our dynamic team, youll have the opportunity to collaborate with top healthcare providers in the country, applying AI-powered RPM solutions to tackle some of the most pressing challenges in healthcare enhancing staff efficiency, improving patient outcomes, and pioneering the next generation of care models, Responsibilities To initiate, develop and optimize algorithms to solve healthcare problems To ensure a constant flow of case studies/publications from acquired health datasets To extract feedback for product and marketing in order to improve and optimize their functions To optimize and upgrade existing pipelines and processesTo ensure performance on par with business requirements To keep the software stack and implementation up to date with the latest advancements in the industry Requirement 5+ years of relevant work experienceStrong fundamentals in statistics and machine learning Excellent scripting and programming skills with Python(preferred), Julia or R Experience of working with Time series data Experience of mining, handling and analyzing big datasets Experience of working with TensorFlow/Keras/Pytorch Experience of working with Spark/Hadoop and help setup pipelines Excellent data communication, sharp analytical abilities with proven design skills along with ability to think critically of the current system and existing projects Vision & Mission Save Million lives with Health AI Dozee is Indias leading AI-Powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS) A solution that continuously monitors patients and provides early warnings of clinical deterioration, enabling timely interventions and enhancing patient safety in hospitals, nursing facilities and patient homes A "Made in India for the World" solution, Dozee has pioneered the worlds first non-contact blood pressure monitoring system Trusted by leading healthcare providers in India, the USA, and Africa, Dozee is transforming patient safety and care by enhancing outcomes and reducing costs, Dozee is adopted by 300+ hospitals and monitors 16000+ beds across 4 countries Dozee has monitored over 1 Mn Patients, Delivered 35000+ Life Saving Alerts and Saved 10 Mn+ Nursing Hours, Videos Science Behind Dozee : Ballistocardiography & Artificial Intelligence 100 Dozee deliver 144 life saving alerts and INR 2 7 Cr of saving Sattva Study Dozee saves life of a mother at home Leading Healthcare Game changers work with Dozee I I ntroducing Dozee VS Dozee Shravan A clinical grade RPM service Dozee In News Bloomberg Oct 21, 2024 From AI Beds to Remote ICUs, Startups are plugging India's health Gaps News18Oct 26, 2024 Now, You Can Remotely Monitor Your Loved Ones in Hospital With Bengaluru Start-Up's 'Shravan' Analytics India MagazineOct 29, 2024 Dozee Harness AI for Personalised Patient Care ET HealthWorldSep 16, 2024 We trust AI everyday From Google Maps to Smartphones, So why not use it to enhance patient safety in healthcare BW healthcareworldOct 29, 2024 Dozee's AI-Powered System Predicts Patient Deterioration 16 Hours in Advance A tertiary care hospital study published in JMIR , validated Dozees Early Warning System (EWS), showing it identified 97% of deteriorating patients, provided alerts ~19 hours in advance , and generated 5x fewer alerts, reducing alarm fatigue and improving patient outcomes, A study at King George Medical University, Lucknow, and published in Frontiers in Medical Technology demonstrated that Dozees automation can potentially save 2 5 hours of nursing time per shift , improving workflow efficiency and allowing more focus on patient care, A study on remote patient monitoring in general wards published in Cureus found that 90%+ of healthcare providers reported improved care and patient safety, 74% of patients felt safer , and there was a 43% increase in time for direct patient care, Research by Sattva , an independent consulting firm, demonstrates Dozee's substantial impact: for every 100 Dozee-connected beds, it can save approximately 144 lives , reduce nursestime for vital checks by 80% , and decrease ICU average length of stay by 1 3 days, Key Highlights Founded : October, 2015 Founders : Mudit Dandwate, Gaurav Parchani Headquarters : Bangalore, India | Houston, USA | Dubai, UAE Key Investors & Backers : Prime Ventures, 3one4 Capital, YourNest Capital, Gokul Rajaram, BIRAC (Department of Biotechnology, State Bank of India, and Dinesh Mody Ventures, Temasek Foundation, Horizons Ventures Stage : Series A+ Team Strength : 280+ Business : Providing Continuum of care with AI-powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS) for Hospitals and Home, Certifications & Accreditations : ISO13485:2016 Certified, ISO27001:2022 Certified, CDSCO Registered, FDA510K Cleared for the flagship product Dozee Vitals Signs (VS) measurement system and SOC2 Type II Certified Achievements Forbes India 30 under 30 Forbes Asia 100 to Watch Times Network India Health Awards 2024 for AI innovation in Bharat Healthcare tech BML Munjal Award for Business Excellence using Learning and Development FICCI Digital Innovation in Healthcare Award Anjani Mashelkar Inclusive Innovation Award Marico Innovation For India Award, To know more about life@dozee, click here , Disclaimer: Dozee is an equal opportunity employer We celebrate diversity and are committed to creating an inclusive environment for all employees ? Dozee does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law All employment is decided on the basis of qualifications, merit, and business need Dozee will not tolerate discrimination or harassment based on any of these characteristics

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree, Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines, Experience with classification and regression, prediction and inferential tasks, training/validation criteria for machine learning algorithm performance, Experience in identifying opportunities for business/product improvement and defining the initiatives, Experience in developing new models, methods, analysis and approaches, About The Job Help serve Google's worldwide user base of more than a billion people Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions You will weave stories with meaningful insight from data You'll make critical recommendations for your fellow Googlers in Engineering and Product Management You relish tallying up the numbers one minute and communicating your findings to a team leader the next, Responsibilities Partner with Play/Apps Product Managers, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences, Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play/Apps team, Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information, Follow engineering best practice to create data pipelines and models, Develop and automate reports, build and prototype dashboards to provide insights for problem-solving needs, 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 ,

As a Data Scientist, you will develop and implement data-driven solutions to drive business outcomes at Kraft Heinz You will work with your team and manager on advanced analytics and DS modelling projects from inception to production, collaborating with stakeholders to deliver high-impact results, Responsibilities Develop, test, and deploy predictive models using machine learning and statistical techniques Collaborate with stakeholders to identify opportunities and design solutions Explore and analyze large datasets to inform business decisions Engineer new features and test various modeling approaches to develop industry-leading analytics products Contribute to the development of our data science capabilities and best practices Requirements Bachelors degree in Data Science, Computer Science, Engineering, or Statistics 3+ years of applied experience in data science or related field Expertise in Python and/or R, and eager to learn other languages Fluency in SQL Strong understanding of machine learning, data wrangling, and exploratory analysis Ability to work collaboratively with stakeholders to deliver high-impact results Excellent communication and problem-solving skills Preferred Qualifications Experience with Big Data technologies such as Snowflake and Spark Experience with cloud-based technologies such as Azure Familiarity with Agile development methodologies Experience working in a cross-functional team environment Expertise with the following modeling methods Design of Experiments, ANOVA, multivariate regression, discrete and continuous optimization, survival analysis, discrete event simulation

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Data Scientist / Senior Data scientist/ Lead Data scientist Exp : 6 - 12years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 6 - 10years of overall experience, including at least 2-3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project life cycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 2-3 years experience in GenAI and LLM with overall 6- 12 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Required Skills: 2-5 years of experience in data engineering, analytics and data sciences. Experience in LLM and Gen AI. Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc. Familiarity with ML Ops tools/platforms Familiarity with Docker and Kubernetes Proficiency in one or more visualization tools like Tableau etc. Experience engineering information out of massive, complex and, in some cases, unstructured datasets. Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery. Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization. Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity. Excellent problem-framing, problem solving and project management skills and ability to change direction quickly. Ability to balance and prioritize multiple projects. Experience working within a Cloud based environment, SaaS. Experience with git and version control workflows. Proficient in performance tuning and debugging Requirements: As a Data Scientist, you will collaborate with a multi-disciplinary team of solution architects and data engineers on a wide range of business problems. You will be an integral part of IT Advanced Analytics group who are a team responsible for building out capabilities across business strategy, analytics, and Cloud. Data Scientist must be able to: Execute on all phases of the Data Science project lifecycle with minimal supervision Interact with business stakeholders to gather requirements and convey project outcomes Job Responsibilities: Be equal member of a cohesive and selfless team. Take complete ownership of your work with the goal of exceeding customer expectations. Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance. Work closely with internal WWT business, engineering and technology teams Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions. Maintains and enhance a set of critical data models supporting our business use cases. Maintains complex data pipeline supporting our team's mission in democratizing data and enabling a data driven organization, partnering with our data engineering teams. Effectively communicate actionable insights at all levels of the organization. Collaborate closely with stakeholders to improve our view of modeling and decision engines. Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyperparameter tuning for machine learning, and deployment. Build and Maintain models for internal customers and business teams, build knowledge and metrics for the product life cycle. Flexibility to work as a member of a matrix based diverse and geographically distributed project teams. Enhance the subject matter expertise while working with the various business domains.

Job Description Are you interested in joining a dynamic global team that has a great impact on the Collins' organization? If so, then this is the job for you! The Global Technical Solutions (GTS) organization brings employees together across Collins that work on Electronic Computer-Aided Design (ECAD), Mechanical Computer-Aided Design (MCAD), Technical Documentation and Technical Excellence. As a Data Scientist specializing in process improvements for Mechanical Computer-Aided Design (MCAD), Electrical Computer-Aided Design (ECAD), and Technical Publications, you will be integral to enhancing the efficiency, accuracy, and consistency of design and documentation processes within GTS. Leveraging data analytics and automation, youll develop data-driven solutions to streamline workflows, reduce errors, and improve quality across mechanical and electrical design outputs as well as technical publications. Collaborating closely with MCAD and ECAD design teams, technical authors, and cross-functional stakeholders, youll contribute to advanced process optimization and best practices for aerospace engineering documentation. What YOU will do: Develop strategy on data in collaboration with senior leadership team, technology team and Tools leader by implementing innovative data technology to solve difficult business problems. Build and maintain data pipelines to collect, process, and store large volumes of data. Develop ETL/ELT pipelines to move and transform data. Ensure data systems are scalable, fast, and reliable. Work with big data tools like Data Lakes, Apache Spark, Kafka, and cloud platforms. Designing, creating and maintaining dashboards, reports, and other data visualizations for various departments within an organization by developing and implementing data visualization standards and guidelines, and providing technical support and training to other team members on data visualization tools and techniques by staying on top of latest data visualization trends and techniques. Data Analysis & Process Insights for Portfolio of programs: Collect, clean, and analyze data from MCAD and ECAD systems, technical documentations, finance, HR and related tools. Identify inefficiencies, error trends, and bottlenecks across the design-to-documentation lifecycle to drive improvements in process quality and speed. Workflow Optimization for Cross-Disciplinary Design & Documentation: Identify improvement opportunities within product areas of MCAD, ECAD, Technical Documentation and Technical Excellence processes. Develop and implement data-driven solutions to reduce manual steps, improve cross-functional integration, and enhance document consistency and accuracy. Dashboarding & Visualization for Process Monitoring: Build and maintain dashboards to provide real-time monitoring of key metrics for MCAD, ECAD, Technical Documentation and Technical Excellence processes. Enable data-driven insights into process performance, workload management, and error trends for continuous improvement Cross-Functional Collaboration: Work closely with MCAD, ECAD, and technical documentation teams to understand their challenges and requirements. Serve as a data-driven consultant to technical authors, design engineers, and quality teams, ensuring the integration of analytics solutions aligns with the needs of each function. Documentation & Reporting: Document analytical methods, model specifications, and process improvements. Provide regular impact reports and key insights for continuous process optimization across MCAD, ECAD, and technical publications. Process Improvement: Identify and implement improvements using CORE events and engagements. Travel up to 10% of the time per business needs. Qualifications You Must Have: BE/B.Tech or MS/M.Tech or Phd with 8 to 13 Years of experience. 8+ years of experience in data engineering, data science, process improvement, or analytics, preferably within aerospace or a similar industry with a focus on design and documentation 8+ years experience in programming languages and relevant experience developing front end and backend tools (eg, Python, R, SQL, Cloud Platforms, PowerApps, PowerBI, Tableau, etc.) for data engineering, analysis and visualization. 8+ years’ experience creating data visualizations to articulate messaging to executive leadership using tools such as Power BI, Tableau, Alteryx etc. Qualifications We Prefer: Bachelor’s or master’s degree in data science, Engineering, Computer Science, Business or a related field, with a focus on design processes, technical documentation, or process optimization Employee in Global Technical Solutions, effective January 2025 Awareness of MCAD and ECAD tools (e.g., CATIA, SolidWorks, Altium, or Siemens EDA) Ability to explain data-driven insights to both technical and non-technical audiences Ability to collaborate effectively in cross-functional teams and drive alignment across disciplines What We Offer: Some of our competitive benefits package includes: Transportation facility. Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of sick leave annually. Employee scholar program Work life balance Car lease program National Pension Scheme LTA Fuel & Maintenance /Driver wages And more! Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. Apply now and be part of the team that’s redefining aerospace, every day

We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. Responsibilities: Deliver complex analytics projects, providing data-driven insights to address critical business challenges by analyzing disaggregated data utilizing modeling, statistics, and machine learning. Work with diverse data sets to clean, manipulate, and analyze data using tools such as R, Python, and SQL Apply a range of statistical techniques and modeling processes to transactional and attitudinal data to help answer our clients’ business questions Develop expertise in all our analytical solutions, understanding their technical intricacies and their value to clients Share analytical best practices and insights across teams to foster alignment and continuous improvement and development of advanced analytical techniques Simplify and explain complex analytical concepts in a clear and concise manner, tailoring explanations to different audiences Support the continuous improvement and development of our advanced analytical techniques and how we run them Act as an analytical expert on projects, providing advice internally to ensure that our approaches and outputs remain best-in-class What You'll Bring to Numerator Requirements: Education: A university degree in a mathematical, scientific, or related discipline with a strong statistical component. A higher degree in a relevant field is preferred but not required Technical Skills: Proficiency in R and Git is essential. Knowledge of SAS, SQL, Python and Shiny are desirable. Analytical Mindset: Strong interest in understanding consumer behaviour and how brands can grow through data-driven insights. Strong analytical thinking ability Data Handling: Hands-on experience in working with large datasets, performing statistical analyses, running machine learning models, and visualizing results using the R ecosystem Industry Knowledge: Experience working with panel or survey data is an advantage but not mandatory Experience working with relevant modeling techniques - clustering techniques, regression, probability modeling, and others Highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions Critical thinking and genuine passion for consumer behaviour. Possesses outstanding communication and interpersonal skills to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner Fluency in spoken and written English is mandatory. Business fluency in French highly desirable. Show more Show less

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Job Reference # 318227BR Job Type Full Time Your role Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas? Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings Your team You’ll be working STAAT Data Science team in Mumbai Your expertise degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus 4+ years’ experience in developing and NLP Models Expert level proficiency in python 2+ years’ experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their realworld advantages/drawbacks hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

Data Scientist Role Overview: We are seeking highly skilled and Data Scientists to join our team. The ideal candidates will be responsible for developing and implementing machine learning (ML) and generative AI (Gen AI) applications. This role requires a strong background in data science, with a focus on ML modeling techniques and exploratory data analysis (EDA). Key Responsibilities: Develop and deploy ML and Gen AI applications using LangChain, Llama Index, and OpenAI. Conduct comprehensive EDA to uncover insights and inform ML model development. Collaborate with cross-functional teams to integrate AI solutions into business processes. Continuously monitor and improve the performance of AI models. Stay updated with the latest advancements in ML and Gen AI technologies. Mandatory Skillsets: Highly proficient in ML and Gen AI application development with LangChain, Llama Index, OpenAI Strong industry exposure in Data Science with Machine Learning modelling techniques and Exploratory Data Analysis Atleast 5+ years of experience in data science with 2 years of experience in Gen AI Good-to-Have Skillsets: Experience with other AI frameworks and tools. Strong programming skills in Python or R. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Show more Show less

Experience : 3.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid (Mumbai) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Shaadi.com) What do you need for this opportunity? Must have skills required: Machine Learning, NumPy, Data Cleaning, Python, Model evaluation, pandas, Statistics Shaadi.com is Looking for: We are seeking a talented Data Scientist II to join our team. The ideal candidate will have 2-5 years of experience in data science and possess expertise in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Duties and Responsibilities: Develop and implement machine learning models to extract insights from large datasets. Utilize deep learning techniques to enhance data analysis and predictive modeling. Write efficient Python code to manipulate and analyze data. - Work with SQL databases to extract and transform data for analysis. Utilize Amazon Redshift for data warehousing and analytics. Apply NLP techniques to extract valuable information from unstructured data. - Utilize AWS Cloud services for data storage, processing, and analysis. Qualifications and Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. - 3-5 years of experience in data science or related field. Proficiency in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Strong analytical and problem-solving skills. - Excellent communication and teamwork abilities. Key Competencies Strong analytical skills. - Problem-solving abilities. - Proficiency in machine learning and deep learning techniques. Excellent programming skills in Python. - Knowledge of SQL and database management. Familiarity with Amazon Redshift, NLP, and AWS Cloud services. Performance Expectations: Develop and deploy advanced machine learning models. Extract valuable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making. Stay updated on the latest trends and technologies in data science. We are looking for a motivated and skilled Data Scientist I to join our team and contribute to our data-driven initiatives. If you meet the qualifications and are passionate about data science, we encourage you to apply. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About the Digital Business Unit at IndusInd: The mandate of the Digital Business Unit at IndusInd Bank is as follows: Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers Build Embedded Finance (Banking as a Service) applications Ensure designs are highly available, highly modular, highly scalable and highly secure Drive digital business Some of the applications managed by the Digital Business Unit include IndusMobile (bank’s mobile app for retail individual clients), Indusnet (net banking application of the bank), IndusMerchantSolutions app, Whatsapp Banking, Chatbots, easycredit for Individuals, easycredit for Business Owners, savings, current account and fixed deposit online platforms. There are many more innovative digital products and solutions in pipeline The unit’s objectives are three fold – (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models About the Role: You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Job Responsibilities: Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Well versed with necessary data reprocessing and feature engineering skills. Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. Experience in establishing/scaling up data science functions Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes Work with product, growth, and marketing teams across product/campaign lifecycle Empower product and marketing teams by creating automated dashboards and reports using PowerBI Education, Work Experience, Key Skill Set Requirements: BE / B-Tech/M.E./M.Tech/MBA/PGDBM from Tier 1/Tier 2 colleges 2-4 years of Data Science experience in Banking/ Financial Services Model development experience in Python Strong and in-depth understanding of statistics Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Excellent written and verbal communication Ability to build & use relationships and influence broadly across the organization Results driven with strong project management skills, ability to work on multiple priorities Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing Show more Show less

Role - Sr Data Scientist Work Mode - Hybrid Location - Bengaluru Experience - 4+ Years Key Responsibilities :- Collaborate with cross-functional teams to deliver ML and AI-driven solutions, including traditional models, LLMs, Generative AI, and Computer Vision projects. Support model development, evaluation, and deployment in a production-grade environment. Engage actively in data exploration, feature engineering, and model refinement Participate in discussions with engineering (data and software) and product managers, ensuring technical feasibility and business alignment. Take ownership of assigned deliverables and demonstrate independent problem-solving and execution skills. Stay updated with the latest advancements in AI/ML and proactively apply learnings to ongoing work. Role :- 4+ years of experience in applied data science (internships or projects count). Strong programming skills in Python and experience with libraries like scikit-learn, pandas, TensorFlow, and PyTorch. Familiarity with foundational concepts in ML, DL, NLP, Statistics, and LLMs. Excellent communication skills, especially in cross-team settings with engineering or product stakeholders. Demonstrated curiosity, initiative, and drive to solve diverse problems. Show more Show less

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, wed like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the companys ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 3+ years of experience solving analytical problems using quantitative approaches Experience communicating quantitative analysis results Knowledge with relational databases and SQL Development experience in any scripting language (PHP, Python, Perl, etc.) Knowledge of statistics (e.g., hypothesis testing, regressions) Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have Programming – Python (Preferred) / R ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect Classification – Bagging & Boosting (Random Forest), Decision tree, SVM Clustering – K-Means, hierarchical, DB-Scan Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM Neural Networks (Deep learning), Naive Bayes Excel and SQL Dimensionality Reduction – PCA, SVD etc. Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – Visualization – Tableau / Power BI / Looker / QlikView Data management – HDFS, Spark, Advanced Excel Agile Tools – Azure DevOps, JIRA Pyspark Big Data/Hive Database IDE: Pycharm

Main Responsibilities are: Understand, Define and Articulate the art of possible of AI/ML/MLOps solutions to Business heads. Hands-on in Designing, Development and Production roll-out of AI / ML/ MLOps solutions using data science framework and methodologies (CRISP-DM and TDSP) for complex problems. Must have thorough understanding and hands-on experience of using Statistical Modeling, Classical ML, Bigdata Analytics, Deep Neural Networks, Edge AI, MLOps, Generative AI •. Should have good understanding of functional domain with data, data pipelines, data storage, data lineage and quality data management. Data Analysis and Insights Generation - Perform exploratory data analysis (EDA) on large datasets from manufacturing processes, supply chain, and other verticals to uncover trends, anomalies, and actionable insights. Identify key performance indicators (KPIs) and metrics to monitor operational efficiency, sustainability goals, and process improvements. Write efficient, reusable, and well-documented code in Python for data processing, analysis, and automation of workflows. Leverage the AWS ecosystem (e.g., S3, Redshift, Lambda, Glue) for data storage, processing, and integration. Utilize statistical and machine learning techniques to solve business problems. Collaborate with data scientists, engineers, and plant managers to translate business needs into technical solutions. Coordinate with vendors to integrate third-party tools or datasets as required. Work on strategic innovative data science projects (Generative AI/ Video Analytics/ Prescriptive Analytics/ Diagnostic Analytics/ Bigdata Analytics/ Time series Analytics etc.) with transformative vision. Work with Business Head and CFT to understand their requirements, help them understand the Art of possible, and develop innovative AI solutions. Also provide mentorship and guidance to junior Data analysts and Data Science Interns in architecting solutions and developing them.

Job Description Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Roles and Responsibility Develop and deploy scalable data pipelines using AI/ML techniques. Collaborate with cross-functional teams to identify business problems and develop solutions. Design and implement predictive models to drive business growth. Work with large datasets to extract insights and trends. Develop and maintain technical documentation of data models and algorithms. Stay updated with industry trends and advancements in AI/ML. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with AI/ML frameworks such as TensorFlow or PyTorch. Strong understanding of statistical concepts and machine learning algorithms. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Minimum 3 years of experience in a related field.

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Job Title: Data Scientist – Real Estate Analytics Location: Yelahanka, Bangalore | Full-Time | On-Site About Us: Dharmic Homez is a fast-growing luxury real estate startup building ultra-premium villas in Bangalore. We’re seeking a Data Scientist to bring efficiency, insight, and intelligence across our operations, sales, and market strategy. Key Responsibilities: Build predictive models for lead conversion, pricing, ROI, and demand forecasting. Analyze sales, CRM, marketing, and customer behavior data . Develop dashboards using Power BI / Tableau / Google Data Studio . Perform geospatial analysis using GIS tools & Google Maps API. Clean, transform, and manage large datasets using SQL, Python (Pandas, NumPy) . Deploy machine learning algorithms (regression, classification, clustering). Conduct competitive benchmarking via web scraping or APIs. Collaborate cross-functionally with marketing, sales, and leadership teams. Requirements: 3+ years experience in data science or analytics. Proficient in Python, SQL, scikit-learn, pandas, matplotlib, seaborn . Strong in statistics, data wrangling, data visualization, ML models . Experience with real estate data or customer analytics preferred. Knowledge of APIs, ETL, and cloud tools (AWS/GCP) is a plus. Apply at [email protected] with subject line: Data Scientist – Real Estate Job Type: Full-time Pay: ₹500,000.00 - ₹850,000.00 per year Schedule: Day shift Ability to commute/relocate: Yelahanka Satellite Town, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have forecasting experience in real estate? Experience: Data science: 2 years (Preferred) Location: Yelahanka Satellite Town, Bengaluru, Karnataka (Preferred) Work Location: In person

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities ● Responsible for overseeing the data scientists team and data specialists ● Teach, lead, and counsel colleagues on new techniques or solutions ● Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem ● Responsible for the conception, planning, and prioritizing of data projects ● Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques ● Ensure that data projects align with organizational goals Minimum Qualification ● Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field ● 3+ years of experience solving analytical problems using quantitative approaches ● Experience communicating quantitative analysis results ● Knowledge with relational databases and SQL ● Development experience in any scripting language (PHP, Python, Perl, etc.) ● Knowledge of statistics (e.g., hypothesis testing, regressions) ● Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have – ● Programming – Python (Preferred) / R ● ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect ● Classification – Bagging & Boosting (Random Forest), Decision tree, SVM ● Clustering – K-Means, hierarchical, DB-Scan ● Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM ● Neural Networks (Deep learning), Naive Bayes ● Excel and SQL ● Dimensionality Reduction – PCA, SVD etc. ● Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm ● Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – ● Visualization – Tableau / Power BI / Looker / QlikView ● Data management – HDFS, Spark, Advanced Excel ● Agile Tools – Azure DevOps, JIRA ● Pyspark ● Big Data/Hive Database ● IDE: Pycharm Show more Show less

About Company Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe Job Title: Data Scientist Location: Bangalore Experience: 5 to 7+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Job Summary: We are looking for a versatile and innovative Data Scientist with experience in Azure Cloud, .NET, ReactJS, and Python (LangChain & FastAPI) to join our cross-functional team. This role blends data science expertise with full-stack development and cloud deployment, enabling intelligent solutions that scale. ________________________________________ Key Responsibilities: • Design and implement machine learning models and NLP pipelines using Python, LangChain, and FastAPI. • Develop and deploy data-driven applications on Microsoft Azure, leveraging services like Azure ML, Azure Functions, and Azure Data Lake. • Collaborate with backend developers using .NET and frontend developers using ReactJS to integrate AI models into scalable web applications. • Build APIs and microservices to serve ML models and data insights. • Perform data wrangling, feature engineering, and model evaluation. • Create dashboards and visualizations to communicate insights to stakeholders. • Ensure security, scalability, and performance of deployed solutions in the Azure environment. ________________________________________ Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. • Strong experience with Python, especially LangChain, FastAPI, and data science libraries (pandas, scikit-learn, etc.). • Proficiency in .NET (C#) for backend development. • Experience with ReactJS for building interactive UIs. • Hands-on experience with Azure Cloud Services (e.g., Azure ML, Azure Functions, Azure DevOps). • Solid understanding of RESTful APIs, microservices, and CI/CD pipelines. • Strong problem-solving and communication skills. ________________________________________ Preferred Qualifications: • Experience with LLMs, vector databases, and prompt engineering. • Familiarity with containerization (Docker, Kubernetes). • Knowledge of MLOps practices and tools. • Exposure to Agile/Scrum methodologies. Qualifications Bachelor's degree in Computer Science (or related field) Show more Show less

Role & responsibilities As a Data Architect, your responsibilities will include: Developing Database Solutions : Create and optimize database structures to efficiently store and retrieve company data. Implement data migration strategies when transitioning to new systems. Collaborate with IT teams to set up databases and related tools. Structural Requirements Analysis : Analyze structural requirements for new software and applications. Understand business needs and translate them into effective data models. Data Migration : Migrate data from legacy systems to modern solutions. Ensure smooth data transition without compromising integrity. Data Model Design : Design conceptual and logical data models. Create flowcharts to visualize data processes. Performance Optimization : Continuously improve system performance by conducting tests and troubleshooting. Integrate new elements to enhance efficiency. Security and Collaboration : Define security procedures for data access and management. Collaborate with the Data Science department to identify future needs and requirements. Data Strategy Development : Strategic Thinking : Experience on understanding the client requirement, defining & implementing data strategy aligned with organizational goals. Data Governance : Establish policies and procedures for data management, quality, and compliance. Data Lifecycle Management : Define data lifecycle stages from creation to archival. Preferred candidate profile Perks and benefits

Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 3+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Interested candidates can share their resumes at - shubhanshi.agarwal@mounttalent.com Whatsapp - 7302239534

Data Scientist Mumbai One of the leading Bank mail at manjeet.kaur@mounttalent.com Whatsapp at 8384077438 Roles and Responsibilities Qualifications • 2-4 years experience in Analytics and Machine Learning & Deep learning(Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)). • Good Experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries (like beautifulsoup). • Knowldge of advanced scraping techniques (like overcoming captcha, proxy, browser fingerprinting, bot detection bypassing,etc) • Working knowledge in various DBs(MySQL, HBase, MongoDB), message queues & Web RestFul APIs. • Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Keras, Tensorflow, Mallet, ML/math toolkits such as scikit-learn, MLlib, Theano, NumPyetc. • Experience of Testing & deployment of Machine learning/deep learning projects in the desired platform. • Strong Logical & Analytical skills with good soft & communication skills Industry Preferably from a Technology, ITES, Shared Services or Banking organization Key Responsibilities • Build, Improve and extend NLP capabilities • Select the proper annotated datasets for supervised learning techniques • Use effective text representation techniques to develop useful features • Identify and utilize the correct algorithms for specific NLP projects • Develop NLP projects in accordance with prescribed requirements • Train developed NLP models and evaluated their effectiveness • Conduct statistical analyses of models, and adjust models where possible • Extend machine learning frameworks and libraries for NLP projects Certifications Certification in Google Tensor Flow, Hadoop, Python, PySpark, SQL, R is desirable Employment Type All positions are on fixed term contract on a full-time basis exclusively for ReBIT, initially for a period of five years, extendable by mutual consent Location Navi Mumba

Job Description We are looking for Sr Data Scientist to join our Data Science and Engineering team who can solve our business and engineering problems efficiently using the various prediction models and heuristics. The responsibilities will include conducting thorough research on the input topics, generating ideas for features and models required for solving various problems for adserver and integrating the model with the main business application. The candidate must be a good programmer and good in data structures apart from being familiar with ML models like logistic regression/decision trees, NLP models and neural networks. Exposure to databases and engineering concepts are a must. Ultimately, youll deliver models with high accuracy that solves the engineering problem at hand, efficiently. Roles & Responsibilities Lead the development and implementation of advanced analytics projects to address business challenges and opportunities. Develop and deploy predictive models by doing research work for right model, data preparation involving various databases, building model and finetuning for accuracy and integrating with business application efficiently to optimize business processes and improve customer experience. Design and build machine learning models to extract insights from large datasets and improve decision-making processes. Collaborate with cross-functional teams including data engineers, business analysts, and product managers to define project requirements and deliver actionable insights. Conduct exploratory data analysis to identify trends, patterns, and outliers in data, and communicate findings to stakeholders. Stay current with industry trends and advancements in machine learning and data science techniques and provide recommendations for adopting new technologies and methodologies. Mentor junior data scientists and provide guidance on best practices for data analysis, model development, and presentation of results. Work closely with stakeholders to understand business objectives and develop data-driven solutions to address their needs. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Lead by example in fostering a culture of innovation, collaboration, and continuous learning within the data science team. Skills, Qualifications, and minimum Experience Masters or PHD in CSE/Mathematics/Statistics Minimum of 5 years of experience in data science or related field, with a proven track record of delivering impactful analytics solutions Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn) Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning etc. Experience with big data technologies with In-depth understanding of SQL. Expert in creating data models, data structures and algorithms. Excellent problem-solving skills and the ability to work with large, complex datasets. Outstanding supervision and mentorship abilities with the ability to lead and mentor junior data scientists and drive projects to successful completion. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. Familiarity with agile development methodologies and experience working in a fast-paced, dynamic environment.