3325 Data Scientist Jobs - Page 15

Role: Data Scientist Experience: 7+yrs Location: Pune Notice Period: Immediate Joiner Responsibilities · Gather and analyze data, using various types of analytics and reporting tools to detect patterns, trends, and relationships in data sets · Establish best practices for collecting data using analysis tools, and interpreting data · Process, cleanse, and verify the integrity of data used for analysis · Perform ad-hoc analysis and present results in a clear manner using appropriate medium · Process / mine huge volumes of structured, semi-structured and unstructured data using state-of-the- art methods to derive meaningful insights in an appropriate format · Recommend tools, techniques, and practices across organizations to enhance knowledge · Create complex predictive models using ML techniques and relevant tools. Required / Mandatory · Excellent knowledge of Statistics , especially distributions, likelihood estimators, etc. · Hands-on experience with one of these programming languages: Python / R · Extensive knowledge of Machine Learning concepts and techniques, along with knowledge of various · algorithms and their use cases · Experience in using Business Intelligence (BI) tools like Tableau (or equivalent) · Hands on experience in using SQL programming with Microsoft SQL Server / MySQL · Excellent documentation skills , including advanced use of Microsoft Excel, Word, and PowerPoint · Ability to work independently with minimum input or assistance · Ability to effectively communicate with all levels of audience – business and technical Qualifications

Title: Data Scientist About RevX : Made for Growth, Built for App Marketers. RevX helps app businesses acquire and reengage users via programmatic to retain, monetize, and accelerate revenue. We're all about taking your app businesses to a new growth level. We rely on data science, innovative technology, and AI, and a skilled team, to create and deliver seamless ad experiences to delight your app users. That’s why RevX is the ideal partner for app marketers that demand trustworthy insights, a hands-on team, and a commitment to growth. We help you build sound mobile strategies, combining programmatic UA, app re engagement, and performance branding to drive real and verifiable results so you can scale your business: with real users, high retention, and incremental revenue. Position description We are seeking a talented and motivated Data Scientist with 3-6 years of experience to join our Data Science team. If you have a strong passion for data science, expertise in machine learning, and experience working with large-scale datasets , we want to hear from you. As a Data Scientist at RevX, you will play a crucial role in developing and implementing machine learning models to drive business impact. You will work closely with teams across data science, engineering, product, and campaign management to build predictive models, optimize algorithms, and deliver actionable insights. Your work will directly influence business strategy, product development, and campaign optimization. Major Responsibilities Develop and implement machine learning models, particularly neural networks, decision trees, random forests, and XGBoost, to solve complex business problems. Work on deep learning models and other advanced techniques to enhance predictive accuracy and model performance. Analyze and interpret large, complex datasets using Python, SQL, and big data technologies to derive meaningful insights. Collaborate with cross-functional teams to design, build, and deploy end-to-end data science solutions, including data pipelines and model deployment frameworks. Utilize advanced statistical techniques and machine learning methodologies to optimize business strategies and outcomes. Evaluate and improve model performance, calibration, and deployment strategies for real-time applications. Perform clustering, segmentation, and other unsupervised learning techniques to discover patterns in large datasets. Conduct A/B testing and other experimental designs to validate model performance and business strategies. Create and maintain data visualizations and dashboards using tools such as matplotlib, seaborn, Grafana, and Looker to communicate findings. Provide technical expertise in handling big data, data warehousing, and cloud-based platforms like Google Cloud Platform (GCP). Required Experience/Skills Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3-6 years of experience in data science or machine learning roles. Strong proficiency in Python for machine learning, data analysis, and deep learning applications. Experience in developing, deploying, and monitoring machine learning models, particularly neural networks, and other advanced algorithms. Expertise in handling big data technologies, with experience in tools such as BigQuery and cloud platforms (GCP preferred). Advanced SQL skills for data querying and manipulation from large datasets. Experience in data visualization tools like matplotlib, seaborn, Grafana, and Looker. Strong understanding of A/B testing, statistical tests, experimental design, and methodologies. Experience in clustering, segmentation, and other unsupervised learning techniques. Strong problem-solving skills and the ability to work with complex datasets and machine learning pipelines. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Education Bachelor of Engineering or similar degree.

5 - 7 Years 1 Opening Bangalore Role description Job Title: Data Scientist Experience: 5–8 Years Location: Bangalore & Hyderabad Notice Period : 0-15days primary Skills : AI/ML, machine Learning, Deep learning, NLP, Classification, Forecasting, Regression, GenAI, ML model deployment. What you’ll achieve As a Data Scientist, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Solve business and customer issues utilizing AI/ML Build prototypes and scalable AI/ML solutions that will be integrated into software products Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Essential Requirements Solid experience in a related role or equivalent skill/education; must include deep knowledge of data science principles. 5-8 years Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus Desirable Requirements Master’s or PhD in a quantitative discipline. Ability to act as a coach to the team and strong product/technology/industry knowledge Skills Python,SQL ,Machine Learning, Deep Learning, NLP, forecasting, ML model deployment About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com. BitGo is looking for a Data Scientist who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions. Responsibilities: Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations. Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business Work collaboratively with cross-functional teams to implement solutions driven by business requirements Develop and automate reporting of key performance indicators of various BitGo’s products and services at scale Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines Be a data evangelist and help BitGo improve its products and services Skills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets. Required: 2+ years industry experience in data analytics field Advanced knowledge of SQL, scripting languages and database concepts The ability to clearly communicate complex results to technical and non-technical audiences Knowledge of Basic Statistics required Experience with Google Analytics / Hubspot / SEM will be a plus Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query) Familiarity with data warehouse development and best practices The versatility and willingness to learn new technologies on the job such as DBT, Airflow BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field Why Join BitGo? Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets. Here are some of the benefits of working at BitGo: Competitive salary IT equipment support for work Meal & Commute allowance Medical Insurance Attractive Well-being allowance (comprises of medical, wellness and fitness aspects) Snacks: on-the-house in the Bangalore office Great/Talented workforce to learn and grow with Note: This role requires working onsite (Monday to Friday) at the Bangalore office. Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

Enterprise Bot is a rapidly expanding conversational AI technology scale-up company that has been providing advanced automation solutions to large companies worldwide since 2017. Our cutting-edge technology is trusted by well-known companies such as SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer contact, automate processes, and drive revenue growth. Our global team comprises over 60 highly skilled professionals from diverse backgrounds. Fostering a truly open and progressive company culture with state-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun. Tasks We are looking for a full-time Data Scientist for our Bangalore office. As an integral part of the team, you will work within multi-disciplinary teams and with external collaborators to identify opportunities for leveraging data, developing proof-of-value prototypes and implementing data science and AI solutions that solve R&D enterprise level problems. Role & Responsibilities: The data scientist will be responsible for design and development of deep learning & LLM based models on unstructured and Structured Data. Will focus on not just on designing the algorithm but also on delivering it at scale. Will build and deploy deep learning techniques in production. Design and develop software modules that perform data ingest, data transform, and analytics tasks. Deliver customized solutions in a timely manner. Monitor and maintain high quality and accuracy of models during deployment. Requirements Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science. Strong skills in Python. Hands-on experience in developing & running machine learning applications in production. Familiarity with training and serving large language models in production. Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining. Strong understanding of fundamentals of Computer Science. Benefits A culture comprised of diverse, global teams who have a passion for collaboration and client service. A competitive salary and scope for further advancement State-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun If you’re passionate about technology, love solving complex problems, and are eager to be part of a dynamic, innovative team, your journey starts here. Join us in harnessing cutting-edge AI solutions to drive data-driven insights and make a lasting impact.

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Data Scientist - Credit Card Analytics (3-5yrs) Bangalore, India Full-time Job Family Group: Product Development Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Consulting and Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers, and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. The individual will be part of VCA Data Science team, under Managed Services vertical and will be responsible for delivering data analytics projects with Visa client. The team is involved in a comprehensive range of analytics services for our client, that address unique challenges in areas such as strategic growth, cards profitability, product acquisitions, customer engagement and portfolio management. What a Data Scientist, Visa Consulting & Analytics does at Visa: The Data Scientist will be a member of VCA Data Science team in Asia Pacific and will report to the squad lead. This position will be embedded at client office and based in Bangalore. The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client. He/she will bring in deep expertise from credit cards and retail banking with a strong background in data analysis to solve complex problems and unlock business value. Key responsibilities include: Execute and deliver data analytics projects for the Visa client Drive credit card portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc. Act as analytics advocate within our partners, advising teams and sharing best practices and case studies. Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure. Explore leading methodologies, best practices and import successful methodologies from other international markets Effectively interact with clients and manage internal/external stakeholder communication Why this is important to Visa As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative, and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data. This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Qualifications We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric. • Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent • Minimum 3+ years of analytics experience in applying statistical solutions to business problems • Experience in card payments and/or retail banking domain • Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive • Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically • Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint • Self-motivated, results oriented individual with ability to handle multiple projects concurrently • Experience in working closely with data science community Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job Requirement : 3-5 Years of experience in Data Science Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools. Bachelors/ Masters in Data Science, Statistics, Computer Science, Business Intelligence, Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn Ability to think strategically and translate data insights into actionable business recommendations. Excellent problem-solving and analytical skills Adaptability and openness towards changing environment and nature of work This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business. Job Roles & Responsibilities: Conduct in-depth analysis of large-scale datasets to uncover insights and trends. Build and deploy predictive and prescriptive machine learning models for various applications. Design and execute A/B tests to evaluate the effectiveness of different strategies. Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making. Stay up-to-date with the latest advancements in data science and machine learning.

Who are we: Turbostart is not just a startup fund and accelerator — we are a catalyst for builders and a powerhouse of innovation. Our mission is to propel early-stage startups into the future by providing unparalleled support in technology, marketing, strategy, and beyond. We're in the business of building tomorrow's leaders — today. After 5 years and 5 funds, we have supported over 50 startups spanning sectors, stages, and geographies — and this is just the beginning! Turbostart spans India, the Middle East, the US, and Singapore — giving you the opportunity to gain exposure and see the impact of your work ripple across regions. Turbostart has also launched 5 Centers of Excellence across Tech, Marketing, Sales, UI/UX, and Investment Banking to support the growth of our startup network. Know more about us: https://turbostart.co Turbostart Technology Development Centre (T2C) is a leading Center of Excellence within the Turbostart ecosystem. T2C plays a pivotal role by providing cutting-edge technology solutions and expertise to our portfolio companies and by building new-age software products from the ground up. Know more about us: https://tsquaredc.com What we are looking for: Role: Data Scientist We are looking for a passionate and experienced Data Scientist to join our team. You will be responsible for developing machine learning models, generating insights from data, and delivering data-driven solutions to real-world startup problems. Location: Bengaluru, Karnataka, India Experience Required: 2-3 years What you’ll do: Build, evaluate, and deploy ML models for classification, regression, clustering, and forecasting. Apply algorithms such as Linear/Logistic Regression, Random Forest, XGBoost, K-Means, and ARIMA/SARIMA. Perform time series forecasting and anomaly detection. Analyze large datasets to uncover trends and actionable insights. Work with tools and libraries like scikit-learn, statsmodels, XGBoost, TensorFlow/PyTorch, and Google Cloud Platform (BigQuery, AI Platform). Collaborate with data engineers, product teams, and stakeholders to define and implement analytical solutions. Present data-driven insights in a clear, structured manner to both technical and non-technical audiences. Continuously optimize models and stay up-to-date with the latest techniques in machine learning and data science. Our ideal candidate: Strong foundation in statistics, machine learning, and data mining. Proven experience in both supervised and unsupervised learning techniques. Hands-on experience with time series analysis and forecasting using models like ARIMA/SARIMA. Proficient in Python, SQL, and ML libraries such as pandas, NumPy, scikit-learn, statsmodels. Familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience working with cloud platforms, preferably Google Cloud Platform (GCP) . Comfortable with model evaluation techniques like cross-validation, ROC-AUC, precision-recall, etc. Experience in handling large-scale datasets and writing efficient data pipelines. Strong problem-solving skills, attention to detail, and ability to work in a fast-paced startup environment. Excellent communication and collaboration skills. Why join us Work on cutting-edge projects with early-stage startups across sectors like EdTech, FinTech, MarketingTech, Logistics, Sustainability, and Media. Be part of a global innovation ecosystem, collaborating with startup founders, product managers, and domain experts. Continuous learning & mentorship from top-tier tech experts across Turbostart’s Centres of Excellence. Access to the latest tools, technologies, and frameworks in the data and AI space. High-impact role where your work directly contributes to startup growth and success. Enjoy a dynamic, collaborative, and inclusive work culture that values innovation and experimentation.

Job Role: Data Scientist Job Description:  Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.  Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.  Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.  Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.  Ability to analyze and preprocess large datasets efficiently.  Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.  Excellent communication skills to articulate complex technical concepts effectively.  Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.  Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.  Extensive knowledge of image processing techniques, including segmentation and feature extraction.  Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.  Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.  Ability to process and analyze video data to derive meaningful insights and patterns.  Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.  Excellent understanding of computer vision principles and techniques.  Effective communication skills to collaborate with cross-functional teams and stakeholders.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient deep learning solutions for realworld applications would be advantageous. Job Types: Full-time, Permanent Pay: ₹180,000.00 - ₹240,000.00 per year Benefits: Cell phone reimbursement Paid sick time Paid time off Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Location: Tirupati, Andhra Pradesh (Preferred) Work Location: In person

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Job Title: Data Scientist Locations: Chennai | Bangalore | Hyderabad NP : Immediate Joiner - 15 Days Skills : Python , Data Science , ML Model building, Regression, Classification Job Title : Senior Analyst / Data Scientist - Data Science Location : Chennai, Bangalore, Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies. Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital. Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities. Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges. Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making. Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life What do we expect? 2 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities. Good communication skills, both verbal and written. Exhibit a fervour for crafting modular, scalable, and bug-free Python code. Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint. Experience in production engineering best practices (e.g. Git versioning, Docker). Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark) Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP). Excitement to collaborate with diverse stakeholders across the organisation. In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods. Hunger to learn new technologies and embrace the change. Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations. Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role. You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities External Skills And Expertise

Company Overview Avahi is a trusted AWS Advanced Partner that helps businesses transform their operations with cloud-based solutions. We are a dynamic and rapidly growing company known for its vibrant culture and innovative approach. As an emerging player in the industry, we thrive on challenges and seek individuals who are enthusiastic about contributing to our exciting startup journey. We are on the lookout for motivated go-getters who are ready to make a significant impact and be part of a team that values collaboration, creativity, and continuous learning. About The Role As a Data Scientist at Avahi, you’ll work very closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling towards the goal of democratizing Generative AI for everyone. Example Projects Build a RAG pipeline on top of internal documents. Create a python library on top of AWS services to enable GenAI for large enterprises. Open source internal tools. Implement neural network architecture from newly published papers. Work on tools which work with fine-tuned models, vector databases, embeddings etc. Develop more realistic simulations for training our agents. Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc). Create visualizations to help us deeply understand what our networks learn and why. Qualifications Very comfortable writing Python. Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not mandatory Excited to work on open-source code. Passionate about engineering best practices. Self-directed and independent. Strong English language skills are a must. Education Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field Why Work Here Remote-First Flexibility Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere. Innovative Culture We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions. Career Development Avahi is committed to your growth, offering mentorship and opportunities to advance your career, with potential for full-time roles after initial contracts. Purpose-Driven Mission Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices. Global Collaboration Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.

Job Responsibilities • As Manager-Delivery, you will be responsible for a wide range of engagements listed below: • Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project. • Develop a comprehensive project plan that aligns with the scope and objectives of the project. • Develop appropriate solution design that will help client achieve their goals. • Assign delivery team members to different activities suited to their individual skills. • Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope. • Accountable for the delivery quality of the project in question. • Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores. • Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients. • Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation. • Provide both business and technical guidance to the delivery team. • Coach individuals in the team and build a high-performance workplace. • Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas. • Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc. Required Skills (Must have) Tech • Advanced knowledge of probability and statistics • Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them • Intermediate knowledge levels in SQL and Python • Intermediate knowledge of project management methodologies and tools • Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word. Non Tech : • Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients. • Ability to storyboard presentations effectively and hold conversations with mid-management-level clients. • Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact. • Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation. • Provide leadership and mentorship to the delivery team. • Self-driven with a strong sense of ownership. Required Skills (Good to have) Tech • Advanced knowledge of project management methodologies and tools • Advanced knowledge levels in SQL and Python • Intermediate to advanced knowledge in other areas of data science—namely, technical areas such as time series forecasting, Bayesian data analysis, Operations Research, and analytics domain areas such as Pricing analytics, Media Mix Modeling, B2B/B2C Customer analytics, etc. Non Tech • Solution proposals, collaborating with growth, customer success, and central solutioning functions. Being a Mathemagician • Understand & embody culture and way of working. • Demonstrate an ownership mindset to drive results, striving for excellence. • Engage actively and contribute to initiatives fostering company growth. • Support diversity and understand different perspectives. Preferred Educational Qualifications : • An undergraduate degree in engineering, statistics, mathematics, computer science, or another technical field. For those with an undergraduate degree in non-technical fields, relevant prior work experience and technical aptitude will be important. #sql #python #ML model #machine learning

About Company : Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida. Job Title: Data Scientist Location: Gurgaon Experience: 9-12 Job Type : Contract to hire. Notice Period: Immediate joiners. Mandatory Skills: SQL, Python, PySpark, Spark ML language Job Description: Primary skills: • Solid experience in building ML Models. • Proficient in SQL, Python, PySpark, Spark ML language. • Good understanding of cloud platforms such as AWS (preferred), Azure or GCP. • Proficient in source code controls using Github. Secondary skills: • Experience using any Auto ML products like DataRobot / H2O AI. • Provide inputs to build Artificial Intelligence (AI) roadmap for marketing based on TE&O architecture and capability delivery timelines. • Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com. BitGo is looking for a Data Scientist who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions. Responsibilities: Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations. Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business Work collaboratively with cross-functional teams to implement solutions driven by business requirements Develop and automate reporting of key performance indicators of various BitGo's products and services at scale Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines Be a data evangelist and help BitGo improve its products and services Skills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets. Required: 3+ years industry experience in data analytics field Advanced knowledge of SQL, scripting languages and database concepts The ability to clearly communicate complex results to technical and non-technical audiences Knowledge of Basic Statistics required Experience with Google Analytics / Hubspot / SEM will be a plus Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query) Familiarity with data warehouse development and best practices The versatility and willingness to learn new technologies on the job such as DBT, Airflow BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field Why Join BitGo? Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world's financial markets. Here are some of the benefits of working at BitGo: Competitive salary IT equipment support for work Meal & Commute allowance Medical Insurance Attractive Well-being allowance (comprises of medical, wellness and fitness aspects) Snacks: on-the-house in the Bangalore office Great/Talented workforce to learn and grow with Note: This role requires working onsite (Monday to Friday) at the Bangalore office. Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

The Opportunity We’re looking for a talented Data Scientist enthusiast who uses analytical, statistical, and programming skills to collect large data sets & develop data-driven solutions explicitly tailored toward the needs of AGEL. Technical Skills Language: Python Proficiency in data mining, mathematics, and statistical analysis Machine learning techniques and algorithms, with good expertise in optimization Cloud: GCP (Preferred) /Azure Data-oriented personality Ideally, you should have: 04 to 06 years of proven experience as a Data Scientist Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Run optimization algorithms to identify the best solution (Linear Programming expertise required) Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Proficiency in Python and Machine Learning. Experience with Generative AI and Agentic AI models. Strong analytical mind and business acumen. Excellent problem-solving aptitude. Effective communication and presentation skills. Knowledge of Indian power sector will be a definite plus

Key Responsibilities: · Design, build, and deploy scalable NLP/ML models for real-world applications. · Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. · Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). · Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). · Write clean, efficient, and testable Python code. · Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. · Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: · 3+ years of experience in Data Science(GEN AI/Machine learning) · Good understanding & Hand on experience in Agentic Ai. · Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. · Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. · Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). · Ability learns new tools, to work independently and collaboratively in a fast-paced environment & Strong problem-solving and communication skills. · Experience in working with Python Programing and agile methodologies such as Scrum or Kanban Please find the below points for your reference. · Experience on Deep Learning and Transformer architectures and models · Prompt Engineering, training LLMs and GenAI pipeline preparation. practical experience in integrating LLM models like ChatGPT, Gemini, Claude etc with context aware capabilities using RAG or fine-tuning models. · Model Evaluation & Alignment. Metrics to calculate the model’s accuracy. · Data Curation from sources for RAG Preprocessing and development LLM Pipelines. · Scalable Deployment and logging tooling. Must have skills like Flask, Django, Fast API, APIs, Docker containerisation, Kubeflow. Familiarity with Lang Chain, LlamaIndex, vLLM, Hugging Face Transformers, LoRA and also basic understanding of cost to performance tradeoffs

TrueID is at the forefront of digital transformation in the realm of biometric-based identity management, emphasizing the pivotal role of digital identities in modern-day businesses such as fintech, banking, and e-commerce. Our team members are given exceptional opportunities to work on cutting-edge projects, pushing the boundaries of digital transformation in identity management in the banking, fintech domains and ecommerce domains. At TrueID, we offer an inspiring work environment that fosters innovation and creativity, allowing team members to contribute to groundbreaking digital identity projects. All TrueID employees are engaged on overseas projects giving them exposure to diverse cultures and perspectives enhancing their professional growth in an increasingly digitalized world. TrueID's commitment to driving digital innovation has made the company a thought leader in shaping the future landscape of digital transformation to manage digital identities. Job Description: TrueID ( www.trueid.in ) is looking to hire a talented Data Scientist with 3+ years of experience to join our team and develop high-impact, scalable forecasting and predictive analytics solutions. You will leverage advanced AI/ML models, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our SaaS platform serving B2B clients. ## Responsibilities •⁠ ⁠Design, develop, and validate time series forecasting and predictive analytics models (Classical, Machine Learning and Neural Network based models) •⁠⁠Analyse and integrate diverse datasets from internal and external sources, including APIs and web-scraped data. •⁠Engineer features, perform data cleaning, and build robust data pipelines. •⁠Work within the productization team to deploy models as APIs and integrate them into our SaaS product. •⁠⁠Implement and monitor model accuracy, retraining, and drift detection pipelines. •⁠⁠Build cost-benefit analysis models, scenario simulation tools, and recommendation engines. •⁠⁠Apply NLP and GenAI techniques to analyze unstructured data and extract actionable insights. •⁠Generate reports and insights for business stakeholders. •⁠⁠Contribute to technical documentation and knowledge transfer. Requirements •⁠ ⁠Bachelor’s/master's in computer science, Statistics, Mathematics, or related field. •⁠3+ years of experience in data science roles, with a strong record of production-grade forecasting or predictive analytics projects. •⁠⁠Proficient in Python and key libraries (pandas, numpy, scikit-learn, statsmodels, Prophet, TensorFlow/PyTorch, etc.). •⁠⁠Hands-on experience with ML pipeline orchestration (Airflow, MLflow, or similar). •⁠Experience with GenAI/NLP and unstructured data. •⁠⁠Familiarity with cloud platforms (AWS/GCP/Azure) and REST APIs. •⁠Experience with SQL and databases. •⁠Strong problem-solving, communication, and collaboration skills. •⁠⁠Exposure to SaaS/Subscription-based product environments is a plus. ## What We Offer •⁠Opportunity to own and deliver a greenfield AI/ML forecasting platform. •⁠Fast-paced, collaborative, and flexible work environment. •⁠Competitive compensation and potential for long-term growth. We are looking for immediate joiners Interested candidates can send your resume to sarika.m@trueid.in

Job Title : Senior Data Scientist Location : Bangalore, India Experience : 3+ Years Employment Type : Full-Time About the Role We are seeking a highly skilled and experienced Data Scientist with strong expertise in Databricks to join our advanced analytics team. The ideal candidate will lead data-driven initiatives, architect scalable data solutions, and collaborate with cross-functional teams to drive business impact. Key Responsibilities Design and implement scalable data pipelines using Databricks , PySpark , and Delta Lake . Develop and deploy machine learning models for predictive analytics and optimization. Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver actionable insights. Optimize data workflows and ensure high performance across cloud platforms (Azure/AWS/GCP). Lead data science projects end-to-end, from problem definition to model deployment and monitoring. Mentor junior data scientists and contribute to best practices in data science and engineering. Required Skills & Qualifications 8+ years of experience in data science, analytics, or data engineering. Strong hands-on experience with Databricks , Apache Spark , and MLflow . Proficiency in Python , SQL , and data visualization tools (e.g., Power BI, Tableau). Experience with cloud platforms (Azure preferred). Solid understanding of machine learning algorithms, statistical modeling, and data wrangling. Excellent problem-solving, communication, and stakeholder management skills. Preferred Qualifications Certifications in Azure Data Engineer or Databricks. Experience with CI/CD pipelines and DevOps practices. Exposure to real-time data processing and streaming technologies. What We Offer Competitive compensation and benefits. Flexible work environment. Opportunities to work on cutting-edge technologies and impactful projects. Collaborative and inclusive culture.

Note: Profiles are rejected if key skills are not reflecting in resume as those are mandatory for requirement Job Role: Data Scientist Job Location: Bangalore Work Mode: Work from office Exp level : 8+ We are aggressively looking for a Data Scientist to join our team in Bangalore. The ideal candidate should have over 8 years of experience in data science and must be available to join immediately. Key Skills Required: Time Series Forecasting – Experience building models for time-based predictions Machine Learning (ML) – Strong foundation and hands-on experience Large Language Models (LLMs) – Understanding and practical application Generative AI & Agentic AI – Exposure to advanced AI methodologies Cloud (AWS) – Working experience with AWS cloud services

TCS is Hiring for skill Data Scientist for PAN INDIA loctaion Exp req:10+ yrs Job Location:PAN INDIA JD Required skills: Machine Learning Modelling, Data Analysis & Pre-processing, Synthetic Data Generation. Python, Statistical Analysis, Domain Expertise. Develops and refines analytical methods using traditional machine learning to extract insights and build predictive models.Trains and validates ML models to solve business problems, requiring a strong foundation in statistical analysis and data manipulation. Focuses on established ML techniques and model validation for reliable results.

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person