As a Data Scientist you will be responsible for : <ul><li>Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.</li><li>Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.</li><li>API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.</li><li>GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.</li><li>Collaborative problem-solving: Work closely with cross-functional teams, including software engineers, product managers, and domain experts to develop innovative AI solutions that address specific business requirements.</li><li>AI technique research: Stay up-to-date with the latest advancements in the field of AI, including deep learning, natural language processing, and computer vision, and explore their potential applications to enhance existing AI models</li></ul> To be succesful in this role you must have : <ul><li>Programming skills: Proficiency in programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., TensorFlow).</li><li>Statistical knowledge: Strong understanding of statistical concepts and methodologies such as regression, clustering, hypothesis testing, and time series analysis.</li><li>GenAI-based models: Understanding and experience with GenAI-based models, exploring their potential applications, and incorporating them into AI models when appropriate</li><li>Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.</li><li>Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.</li><li>API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.</li><li>GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.</li></ul> Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.Certification: Certification in cloud technologies especially Azure open AI would be good to have

About the Company: LTF is one of the top NBFCs in India and its businesses are highly dependent on Analytics team for Insights, Acquisition, Collections and Lead Generation. For our esteemed Analytics team, we are seeking accomplished professionals with knowledge in modeling and analytics. Sound understanding of Financial Services and statistics. Role: SME/Business Loan Analytics Responsibilities:<ul><li>Analyze SME loan data to identify trends, patterns, and insights related to loan performance, customer behavior, and risk factors.</li><li>Identifying market trends, customer needs, and competitive landscapes to design innovative lending solutions. Developing and executing strategies to drive the expansion of the unsecured lending business in alignment with the company's overall vision and goals.</li><li>Identifying, analyzing, and interpreting trends or patterns in complex data sets.</li><li>Lead credit risk analytics, decisioning, and system-based risk rules, and credit algorithms.</li><li>Monitor the performance of SME loan portfolios to assess credit quality, delinquency rates, and portfolio risk exposure.</li><li>Providing expertise in data storage structures, data mining, and data cleansing. Translating numbers and facts to inform strategic business decisions.</li><li>Work with Analytics Leads to identify opportunities for Analytics in aiding decisions across businesses. Analyzing data using statistical techniques and providing reports.</li><li>Create impactful presentations for stakeholder consumption summarizing analytical findings.</li><li>Help identify emerging trends and conduct deep dive analysis to propose appropriate strategy.</li><li>Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity, and stability.</li><li>Track model performance, suggesting improvements and implementing approved changes.</li></ul> Required Skills:<ul><li>Experience of 6-8 years in R, Python, PL/SQL (Preferably MS SQL Server)</li><li>Experience in BFSI domain, Indian Banks and NBFCs is a huge advantage.</li><li>Understanding of Credit Bureau data is advantage.</li><li>Proficiency in statistics and other tools/languages - R, Python, SAS.</li><li>Familiarity with relational databases and intermediate level knowledge of SQL.</li><li>Ability to synthesize unstructured data and find actionable themes/insights using SAS/Python/R.</li><li>Experience in Google Cloud Platform/ Google BigQuery/Vertex AI are a huge advantage.</li><li>Strong problem-solving skills. Ability to connect business requirements to data-mining objectives and business benefit. Demonstrated ability in gathering requirements, designs, plans and estimates.</li><li>Aptitude to learn and ability to think creatively to solve real world business problems.</li><li>Knowledge in at least one of the following - Logistic regression models, Linear regression models, Stochastic models, Bayesian - Modeling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics will be additional advantage.</li></ul>

Good Glamm Group is South Asia’s largest DTC beauty conglomerate that brings together innovative and fast-growing beauty and personal care brands, powered by the Group’s proprietary digital ecosystem of content and creator assets. In November 2021, Good Glamm Group became India’s first DTC Beauty & Personal Care Company to reach Unicorn status. Our mission: To build the largest digital FMCG Conglomerate of the future. Job Description We are looking for a Data Scientist to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. The role is an Individual contributor for applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our properties. Role will directly collaborate with the CXOs to work on critical projects which will drive profitability. Responsibilities <ul><li>Analyze large datasets to extract valuable insights, patterns, and trends, and present findings to support strategic decision-making.</li><li>Design, develop, and implement machine learning and statistical models to solve complex business problems, such as recommendation systems, predictive analytics, and customer segmentation.</li><li>Gather, clean, and preprocess data to ensure its quality and reliability for modeling and analysis.</li><li>Create visualizations and dashboards to effectively communicate data-driven insights to non-technical stakeholders.</li><li>Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to understand business needs and translate them into data science solutions.</li><li>Assess the performance of models, refine them, and iterate as needed to improve accuracy and reliability.</li><li>Extending company’s data with third party sources of information when needed</li></ul> Candidate Requirements: <ul><li>1-3 years of hands-on experience in data science, machine learning, and statistical analysis.</li><li>Proficiency in Python programming language and experience with data manipulation libraries (e.g., pandas, NumPy).</li><li>Strong knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch)</li><li>Experience with data visualization tools (e.g., Matplotlib, Sea</li><li>Solid understanding of SQL and database management</li><li>Strong problem-solving skills and analytical skills.</li><li>Reporting background will be a plus (about 10% of job role)</li><li>Experience in NLP is a plus</li><li>Experience in Computer Vision (Tensorflow/Fastai/OpenCV etc.) is a plus</li><li>leverage LLMs to to build models.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications</li><li>Excellent written and verbal communication skills for coordinating across teams</li><li>Ecommerce experience preferred</li></ul>

Data Scientist Jobs in Mumbai, Maharashtra

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Data Scientist Jobs in Mumbai, Maharashtra

Data ScientistJuly 20, 2024

Data ScientistJuly 16, 2024

Data ScientistJune 28, 2024

Quick filters

Top companies

Data Scientist
July 20, 2024

Data Scientist
July 16, 2024

Data Scientist
June 28, 2024