1577 Data Scientist Jobs - Page 18

Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Deep domain expertise in credit risk modelling across PD, LGD, EAD, and collections Prior experience working in FinTech/credit businesses, especially in digital lending or unsecured loan portfolios Experience applying data science to credit underwriting, risk segmentation, and portfolio management Experience with credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Mindset is critical for success in this role. Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more

Prior Experience in Demand Planning/Forecasting in Product Based/Consultancy organizations. Statistical Forecasting techniques (Time series, Holts Winter, Regression analysis, ARIMA, ARIMAX etc.) Good communication and presentation skills. R /Python, Machine Learning Techniques (Random Forest/Decision Trees, Deep Learning). Visualization skills: Power BI/Tableau would be preferable. Database: MS SQL/Oracle SQL. Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage. Ability to design analytics solutions, simulation, and modelling to address business problems.

3 to 6 years of experience in building Analytical solutions. About the company: Online PSB Loans, is a revolutionary digital credit infrastructure company that develops and integrates cutting-edge technology to automate and digitize lending for both borrowers and lenders. The company addresses the challenges of credit distribution to MSMEs and retail borrowers. With a view to expanding its digital footprint and utilizing its infrastructure, the company is diversifying into several industry segments. Role: - Sr. Data Scientist This role serves to build analytics-led solutions for the company s customers (Bankers, MSMEs, and Individuals) and key stakeholders (Senior Management, Business Development, Marketing, etc.) within the company. Exhibits robust skills in building innovative analytical solutions enabling data-driven, informed business decisions. Analyse a large amount of information to discover trends and patterns. Proactively come up with innovative ways to build and deploy analytical solutions. Work with cross-functional teams to drive Analytical tools in ongoing processes & programs. Min. University degree Master s in computer science Statistics, Mathematics (or other relevant) Technical Skills Hands-on experience in building predictive models, and machine learning algorithms & putting them into production. Strong knowledge of machine learning fundamentals, linear algebra, probability, and statistics. Proficient in Python and SQL and familiarity with machine learning frameworks, matrices, and data visualization libraries. Experience in web scraping, extracting, manipulating, and analyzing multidimensional data (Structured & Unstructured) from varied sources. Experience in Deep Learning, NLP, and cloud-based systems (Spark, Amazon EC2) 3 to 6 years of experience in building Analytical solutions. Experience in the finance industry / Fintech. Skills Presentation skills Effective Written Communication Drive for Results Standing Alone & Proactive Mandatory Skills Proficiency in Python, SQL, hands-on experience in building machine learning models (Logistic Regression, Xgboost, Random forest, etc.,)/Deep learning/NLP and deploying it into production (at least one industry experience in building ML models) Good to have Experience in credit risk modeling, experience in fintech, PySpark, and AWS SageMaker. If you believe that the future lies in innovation and have the ability to come up with ideas that are unconventional in the fintech space, you can apply to be a part of the OPL team.

Core Responsibilities 1. Project Leadership & Strategy Define, initiate, and drive AI/ML projects aligned to business goals. Lead project lifecycle: data ingestion, modeling, evaluation, deployment, and monitoring. Mentor and guide junior data scientists; review code, models, and analyses. Evangelize data science best practices and metrics across the organization. 2. Data Management & Feature Engineering Acquire, clean, and integrate large, complex datasets from multiple sources. Perform EDA, identify data trends, biases, and quality issues. Engineer robust features and reduce dimensionality for scalable modeling. 3. Modeling, Tuning & Validation Design and implement ML models (classical, ensemble, deep learning, NLP, CV) using Python, R, TensorFlow, PyTorch, or scikit-learn. Tune hyperparameters and optimize performance through techniques like cross-validation, A/B testing, and drift analysis. Ensure models adhere to fairness, ethics, privacy standards (e.g., GDPR, HIPAA). 4. Deployment & MLOps Collaborate with engineering to containerize and deploy models via APIs or microservices. Develop CI/CD pipelines, manage model versioning and monitor production performance and drift. 5. Visualization & Communication Build dashboards and visual reports to convey insights to non-technical stakeholders. Clearly communicate technical outcomes and business relevance in presentations and written reports. 6. R&D & Innovation Stay current with new AI/ML research, frameworks, and apply cutting-edge techniques. Experiment with novel methods (e.g., generative AI, transformers) and integrate improvements into production systems. Technical Skills & Tools Languages - Python, R, (Java/Scala for production) ML Frameworks - scikit-learn, TensorFlow, PyTorch, Keras Big Data & MLOps - Spark/Hadoop, Docker, Kubernetes, AWS SageMaker/Azure ML Databases - SQL, NoSQL, ETL pipelines Visualization BI - Tableau, Power BI, matplotlib, seaborn Version Control / CI - Git, MLflow, Jenkins (engineering collaboration) Soft Skills & Leadership Mentorship & Collaboration: Guides junior staff and collaborates with multi-disciplinary teams. Communication & Influence: Translates technical insights into actionable business decisions. Critical Thinking & Ethical Awareness: Applies domain knowledge and ethical responsibility to model development. Innovation & Learning Mindset: Pursues advanced methods and continuous improvement. Project Management: Balances project scope, milestones, and delivery timelines. Experience & Qualifications Education: Master s or PhD in Data Science, Computer Science, Statistics, or related fields. Experience: 5+ years in data science or ML, with a proven track record of delivering models into production. Domain Expertise: Preferred in finance, healthcare, marketing, or cybersecurity. Certifications: IAMML, TensorFlow Developer, AWS/Azure ML certifications are a plus.

The Senior Data Scientist's primary responsibility is to lead the delivery of multiple analytics projects and tools within the Retail domain, ensuring high-quality analytical solutions while managing and mentoring junior team members. This role requires collaborating with stakeholders across multiple teams to transform complex business questions into actionable analytical solutions while maintaining technical excellence and commercial impact. How will you make an impact? Technical Leadership: Lead the analytics quality and delivery of key projects, ensuring alignment on outputs and timelines with stakeholders Data Analytics: Perform sophisticated data exploration and develop efficient code for complex data transformations Solution Design: Transform client questions into analytical solutions through project scoping and solution design Commercial Translation: Connect analytical outputs to business outcomes and communicate insights to both technical and non-technical audiences Team Development: Mentor junior team members and actively participate in knowledge sharing initiatives Process Excellence: Identify and implement improvements in analytical workflows and coding practices The superpowers youll be bringing to the team: Analytics Mastery: Over 4 years of experience in a highly technical analytics environment, with strong coding skills in SQL, Python, and Snowflake, and expertise in handling large datasets to solve commercial business problems. Commercial Insight: Strong commercial acumen to understand business needs and suggest impactful analytics solutions, with experience in transforming client questions into actionable insights. Leadership Excellence: Proven experience in supervising and leading teams as a senior team member, project manager, or team leader, with a strong track record of managing internal and external stakeholders in dynamic, deadline-driven environments. People Development: Passionate about people management, mentoring, and development, with a keen interest in fostering team growth and success. Educational Foundation: Strong academic background with tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline.

Job Description & Responsibilities 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 Build predictive models and machine-learning algorithms Combine models through ensemble modelling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Qualification, Skills & Experience Good hands-on experience in Advanced Python Programming Experiences in scalable Microservice Architecture and Development Good understanding of API Development, Messaging Queues and Asynchronous Task Management Basic DevOp skills and working with Docker Experience with LangChain, LangGraph, AutoGen or CrewAI are a big plus Ability to co-work in a small team with different locations Ability to learn and understand a new Python framework Show more Show less

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

Job Title: Data Scientist – Renewable Energy Location: Gurugram Experience Required: 1–3 years Preferred Educational Background: Tier 1 Engineering Colleges 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 7976457434 𝐬𝐮𝐫𝐞𝐬𝐡.𝐛@𝐬𝐲𝐧𝐚𝐩𝐨𝐧𝐞.𝐜𝐨𝐦 About the Role We are seeking a passionate and skilled Data Scientist to join our team in driving data-led innovation within the renewable energy sector . The selected candidate will play a pivotal role in developing advanced forecasting models, automating data workflows, building scalable data pipelines, and utilizing Generative AI to enhance decision-making and operational efficiency. Key Responsibilities Develop and deploy machine learning models for power generation forecasting, asset performance prediction, and anomaly detection Build and maintain automation scripts for data extraction, transformation, and reporting using Python, Selenium, and web scraping tools Design, develop, and integrate REST APIs to enable seamless data flow across internal and external systems Deliver end-to-end data science solutions , from requirement gathering and PRD creation to model deployment and performance monitoring Leverage Generative AI for report generation, development of chatbot interfaces, and document summarization Collaborate with domain experts and stakeholders to identify high-impact use cases and convert them into actionable data science initiatives Monitor, evaluate, and fine-tune model performance and maintain technical documentation Work with large, complex datasets from SCADA systems , energy meters, weather data sources, and market exchanges Key Skills Required Strong programming skills in Python with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch Proficiency in Machine Learning and Time-Series Forecasting methods Practical experience with web scraping tools like Selenium and BeautifulSoup Sound understanding of API development and integration best practices Experience in developing and maintaining automated data pipelines ; familiarity with Git and basic DevOps tools Excellent analytical and problem-solving abilities, with strong communication skills to articulate technical concepts to non-technical audiences Preferred Qualifications B.Tech/B.E. from a recognized Tier 1 engineering institution 1–3 years of hands-on experience in data science, machine learning, or analytics roles Exposure to or a strong interest in the renewable energy domain—solar, wind, grid operations, or energy trading Familiarity with dashboarding tools such as Power BI or Tableau (preferred, not mandatory) Show more Show less

Senior Data Scientist Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About the Role In this opportunity as Senior Data Scientist, you will: Engage with stakeholders, business analysts and project team to understand the data requirements. Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Build machine learning models and/or statistical solutions. Build predictive models, generative AI solutions. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI. Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. About You You're a fit for the role of Senior Data Scientist if your background includes: Experience- 6-8 Years in the field of Machine Learning & AI Must have a minimum of 3 years of experience working in the data science domain Degree preferred in a quantitative field (Computer Science, Statistics, etc.) Both technical and business acumen is required Technical skills Proficient in machine learning, statistical modelling, data science and generative AI techniques Highly proficient in Python and SQL Experience with Tableau and/or PowerBI Has worked with Amazon Web Services and Sagemaker Ability to build data pipelines for data movement using tools such as Alteryx, GLUE Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POCs in building Generative AI solutions (GPT, Llama etc.,) Hands on with Prompt Engineering Experience in Customer Service, Finance, Sales and Marketing Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake extensively. Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Consulting Experience with a premier consulting firm. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Requirements: Bachelors or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python, R, or a similar programming language. Experience with SQL and data querying from relational databases. Strong foundation in statistics, machine learning, and data modeling. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving and communication skills.

Role: AIML Engineer Experience: 2 to 8 Yrs Notice period: 0- 10 Days Job Location: Hyderabad and Bangalore. (Hybrid) Job Description: Strong proficiency in Python for AI/ML development. Hands-on experience with OpenAI, GPT models, and LangChain or LlamaIndex. Deep understanding of Retrieval-Augmented Generation (RAG) concepts and implementations. Familiarity with vector databases like FAISS, Pinecone, or Weaviate. Good knowledge of data engineering principles (ETL, data modeling, batch/streaming pipelines). Experience with cloud platforms (Azure, AWS, or GCP) for deploying AI/ML solutions. Proficient in tools like Pandas, NumPy, Scikit-learn, and MLflow. Exposure to LLMOps, model versioning, and monitoring is a plus.

Job Responsibility: Products.looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products. • Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs. • Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems. • Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality. • Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements. • Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders. Work experience background required: • Experience building software from the ground up in a corporate or startup environment. Essential skillsets required: • 3-6 years experience in software development • Educational Background: Strong computer science and Math/Statistics • Experience with Open Source LLM and Langchain Framework and and designing efficient prompt for LLMs. • Proven ability with NLP and text-based extraction techniques. • Experience in Generative AI technologies, such as diffusion and/or language models. • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud environment. • Experience with common data science toolkits, such as NumPy, Pandas etc • Proficiency in using query languages such as SQL • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Experience working with large data sets along with data modeling, language development, and database technologies • Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. • Excellent verbal and written communication skills

opening for data scientist *experience in team handling *solid understanding of deep learning, machine learning *Familiar with python, SQL, machine learning and algorithm contact:6380878009/hrrecruiter.istarbs@gmail.com

🚀 Our Client is Hiring: Data Scientist (Fresher – 1 Year Experience) 📍 Location: Pune (Onsite for the first 6 months) We are excited to share that our client is looking for aspiring Data Scientists to join their team! If you’re a fresher or have up to 1 year of experience , this is a great opportunity to kickstart your career in the world of data and analytics. You’ll be working on impactful projects, gaining hands-on experience, and collaborating with industry professionals—all while being part of a supportive and growth-oriented environment. 🔍 Ideal Candidate Profile: 0–1 year of experience in Data Science, ML, or related fields Strong grasp of Python, SQL statistics, and data analysis Eagerness to learn and grow in a fast-paced setup Open to working from the Pune office for the initial 6 months 📄 Apply Now: Fill out this short form to apply: https://forms.gle/yxKs8kzwMKXBLUgm6 Know someone who fits the bill? Tag them or share this post! #Hiring #DataScience #FresherJobs #ClientHiring #PuneJobs #TechCareers #DataScientist #MachineLearning #EntryLevelJobs Show more Show less

JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. RESPONSIBILITIES Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. QUALIFICATIONS Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager - Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Procurement Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning , NLP using Python Solid understanding of GenAI concepts and experience in Prompt Engineering and RAG Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization Good To Have Preferred industry exposure in CPG and experience of working in the domain of Procurement Analytics Product building experience would be a plus Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Experience with Airflow for orchestrating and automating workflows Familiarity with MLOPS and containerization tools like Docker would be plus. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers Show more Show less

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a Data Scientist you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from a great variety of data sources. To achieve this, you will proactively identify needs, design and implement analytical solutions, provide advice and consulting support to our key stakeholders and show impact by executing proof-of-value initiatives, or contributing to existing products. As a Data Scientist you will: Apply your expertise in NLP/LLM to develop and refine models that address Roche business needs. Involved in building and fine-tuning models and optimising their performance to provide valuable insights and solutions to business stakeholders Support prioritisation efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders. Provide methodical and implementation guidance as well as hands-on support around analytical LLM/NLP use cases. Evaluate the pros & cons of different NLP approaches and Generative AI platforms with comprehensive quantitative and qualitative analysis Communicate findings and market the value of use cases to key stakeholders Contribute to positioning data science as a key competency within the enterprise Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different specialties Be a role model for knowledge sharing within the DnA chapter. Act as a coach, mentor, or buddy to help colleagues grow and develop Qualifications M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree and experience with machine learning/data mining/artificial intelligence. Experience of working as a hands-on data scientist in pharmaceutical industry is preferred Hands-on experience with Python programming and common NLP libraries (e.g., transformers, gensim, spaCy, etc.) Familiarity with essential frameworks (e.g. PyTorch) and infrastructure components (Docker, GPU) for training, fine-tuning and evaluating NLP tasks Experience in using both open source (e.g. HuggingFace) and closed source LLM models with different deep learning architectures Experience implementing RAG, working with knowledge databases and using LLM through APIs Good knowledge of effective training and optimising language models to fit for internal infrastructure and ensure seamless integration Familiarity with best practices for code generation, code documentation, data security, and compliance in cloud-based data science workflows Proven experience to add value and insight by providing advanced analytical solutions Data storytelling skills and using visualisation tools to communicate data and results with a non-technical audience International, goal oriented mindset with can do attitude Fluency in written and spoken English Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. Show more Show less

Responsibilities: * Develop predictive models using Python, Sql, NumPy, Pandas & ML algorithms * Collaborate with cross-functional teams on data analysis projects * Optimize database queries for performance improvement Office cab/shuttle

Understand business objectives and translate them into data and machine learning requirements Identify what data is needed to support specific AI use cases and assess its availability, quality and structure Explore and profile data from various sources to evaluate its suitability and uncover biases, gaps or integration challenges Visualising data and analytical results using tools such as Power BI, with the ability to create insightful dashboards for both technical and non-technical audiences. Collaborate with data owners and engineers to locate, access and prepare data for experimentation and model development Work closely with product teams to define success metrics and ensure data can support reliable measurement and evaluation Support the design of data flows and contribute to ingestion and preparation strategies that align with modelling needs Translate insights from data exploration and model experimentation into clear actionable recommendations Contribute to best practices related to data validation, model documentation and governance of analytical workflows Collaborate with ML engineers and AI architects to assess modelling options and design evaluation strategies Stay up to date with developments in AI and machine learning and actively share insights with the wider team Qualification Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: A master’s degree in data science, computer science, statistics, applied mathematics or a related field Strong experience in applied data science or machine learning, with an emphasis on data readiness and problem framing Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow or PyTorch) Demonstrated ability to explore, profile and assess complex data sets to determine their value for ML solutions Experience working with business stakeholders to translate objectives into data needs and analytic plans Understanding of how data flows from source systems into models, and experience partnering with data engineers to build effective pipelines Excellent communication skills, with the ability to explain and visualize data-related concepts to non-technical audiences Fluency in English Additional Information We offer: Competitive salary and benefits package. Opportunities for professional growth and development. Flexible work environment and work-life balance. A multi-cultural work environment Personal qualities that will help you succeed in this role include: Ability to collect and analyse data, establish facts and make recommendations in written and verbal form. Ability to explain and translate complex, technical IT requirements into material understandable for non-IT staff. Ability to liaise with all parts of an organisation, including IT and business stakeholders. Open-minded and helpful and, finally, a good portion of self-awareness and humour.

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist Location: Bangalore Business & Team: BB Advanced Analytics and Artificial Intelligence COE Impact & contribution: As a Senior Data Scientist, you will be instrumental in pioneering Gen AI and multi-agentic systems at scale within CommBank. You will architect, build, and operationalize advanced generative AI solutions—leveraging large language models (LLMs), collaborative agentic frameworks, and state-of-the-art toolchains. You will drive innovation, helping set the organizational strategy for advanced AI, multi-agent collaboration, and responsible next-gen model deployment. Roles & Responsibilities: Gen AI Solution Development: Lead end-to-end development, fine-tuning, and evaluation of state-of-the-art LLMs and multi-modal generative models (e.g., transformers, GANs, VAEs, Diffusion Models) tailored for financial domains. Multi-Agentic System Engineering: Architect, implement, and optimize multi-agent systems, enabling swarms of AI agents (utilizing frameworks like Lang chain, Lang graph, and MCP) to dynamically collaborate, chain, reason, critique, and autonomously execute tasks. LLM-Backed Application Design: Develop robust, scalable GenAI-powered APIs and agent workflows using Fast API, Semantic Kernel, and orchestration tools. Integrate observability and evaluation using Lang fuse for tracing, analytics, and prompt/response feedback loops. Guardrails & Responsible AI: Employ frameworks like Guardrails AI to enforce robust safety, compliance, and reliability in LLM deployments. Establish programmatic checks for prompt injections, hallucinations, and output boundaries. Enterprise-Grade Deployment: Productionize and manage at-scale Gen AI and agent systems with cloud infrastructure (GCP/AWS/Azure), utilizing model optimization (quantization, pruning, knowledge distillation) for latency/throughput trade offs. Toolchain Innovation: Leverage and contribute to open source projects in the Gen AI ecosystem (e.g., Lang Chain, Lang Graph, Semantic Kernel, Lang fuse, Hugging face, Fast API). Continuously experiment with emerging frameworks and research. Stakeholder Collaboration: Partner with product, engineering, and business teams to define high-impact use cases for Gen AI and agentic automation; communicate actionable technical strategies and drive proof-of-value experiments into production. Mentorship & Thought Leadership: Guide junior team members in best practices for Gen AI, prompt engineering, agentic orchestration, responsible deployment, and continuous learning. Represent CommBank in the broader AI community through papers, patents, talks, and open-source. Essential Skills: 6+ years of hands-on experience in Machine Learning, Deep Learning, or Generative AI domains, including practical expertise with LLMs, multi-agent frameworks, and prompt engineering. Proficient in building and scaling multi-agent AI systems using Lang Chain, Lang Graph, Semantic Kernel, MCP, or similar agentic orchestration tools. Advanced experience developing and deploying Gen AI APIs using Fast API; operational familiarity with Lang fuse for LLM evaluation, tracing, and error analytics. Demonstrated ability to apply Guardrails to enforce model safety, explainability, and compliance in production environments. Experience with transformer architectures (BERT/GPT, etc.), fine-tuning LLMs, and model optimization (distillation/quantization/pruning). Strong software engineering background (Python), with experience in enterprise-grade codebases and cloud-native AI deployments. Experience integrating open and commercial LLM APIs and building retrieval-augmented generation (RAG) pipelines. Exposure to agent-based reinforcement learning, agent simulation, and swarm-based collaborative AI. Familiarity with robust experimentation using tools like Lang Smith, GitHub Copilot, and experiment tracking systems. Proven track record of driving Gen AI innovation and adoption in cross-functional teams. Papers, patents, or open-source contributions to the Gen AI/LLM/Agentic AI ecosystem. Experience with financial services or regulated industries for secure and responsible deployment of AI. Education Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 01/07/2025

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

Job Description : True North Marine is hiring a Data Scientist to develop predictive models using voyage data and marine engineering insights. You'll be part of a team working on real-world challenges in vessel performance and maritime optimization. What You’ll Do : Build scalable ML models Visualize and analyze maritime data Integrate engineering principles into data science workflows Collaborate on dashboards and UI development Skills Required : Python, ML/NN frameworks Data Visualization (matplotlib, Plotly, etc.) Marine engineering knowledge preferred Strong communication and teamwork Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Monday to Friday Education: Bachelor's (Required) Experience: Python, ML/NN frameworks: 2 years (Required) Data Visualization (matplotlib, Plotly, etc.): 1 year (Preferred) Language: English (Preferred) Work Location: In person

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift 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.