5437 Data Science Jobs - Page 11

Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll D o : Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What Youll Bring : Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Location - Bengaluru,Gurugram,Noida,Pune

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities. Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R).

Apply here- https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIebwsHHZQFG-FBpsMwy3S3e89UOFNIWU42V1pSQTlXWDMwUTAzSjkzNVRZQy4u Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworksRole & responsibilities Apply here- https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIebwsHHZQFG-FBpsMwy3S3e89UOFNIWU42V1pSQTlXWDMwUTAzSjkzNVRZQy4u

Join us as a Data & Analytics Analyst This is an opportunity to take on a purpose-led role in a cutting edge Data & Analytics team Youll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose Youll bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your work We're offering this role at associate vice president level What you'll do As a Data & Analytics Analyst, youll be driving the use of advanced analytics in your team to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products Youll be working closely with business stakeholders to define detailed, often complex and ambiguous business problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible, As Well As This, Youll Be Leading and coaching your colleagues to plan and deliver strategic project and scrum outcomes Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs The skills you'll need Were looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages Along with advanced analytics knowledge, youll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling , Youll Also Demonstrate Strong knowledge of data management practices and principles Experience of translating data and insights for key stakeholders Good knowledge of data engineering, data science and decisioning disciplines Data Analysis skills to identify Control gaps and measuring data quality against the standards, Automation and dashboarding of Data Quality metrics Practical knowledge of implementing Data Quality tools, Working experience in SQLs and Data Cloud environment Good understanding of Risk and Controls Frameworks Candidates must possess 8-10 years of experience Show

What The Candidate Will Need / Bonus Points ---What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring, Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications SQL mastery Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments Show

Responsible for achieving assigned P/L targets, identifying and developing new growth opportunities while maintaining existing ones. Ensures timely customer collections and oversees the entire B2B sales cycle from lead generation, qualification, and development to negotiation and closure managing multiple internal and external stakeholders. Key Performance Indicators (KPIs) As Business Development Manager (B2B) The candidate must have prior experience in the Ed-Tech or Education industry, specifically in counseling and selling online courses in the Data Science domain. Build and maintain strong relationships with Corporates, Government Bodies, and Educational Institutions to facilitate Data Science/Analytics training across India and internationally, in both online and offline formats. Represent the organization and establish corporate partnerships by acting as the primary point of contact. Develop and implement a strategic sales plan to achieve targets and expand the company's corporate client base across India. Engage in corporate sales (B2B) through cold calling, making multiple outbound calls to potential clients, closing deals, and managing the sales process. Identify target accounts, develop sales plans, interact with senior management, and present Data Science products and services effectively. Understand the needs of Corporates, Government Bodies, Colleges, and Universities, offering tailored analytics training and support. Address client queries, follow up on discussions, and respond to Requests for Proposals (RFPs). Maintain and update a database of prospective clients using tools like Salesforce, CRM, or Excel. Conduct area mapping, prospecting, negotiations, finalizing commercials, and ensuring deal closure with proper documentation. Coordinate closely with the training team to provide clients with customized training solutions as needed. Key Performance Indicators (KPsI) As Business Development Manager (B2C) Develop and implement a strategic plan to achieve sales targets and expand the companys B2C customer base. Build strong relationships with new customers and secure contracts to meet assigned sales quotas and targets. Identify potential customers through direct methods like cold calling and face-to-face meetings, as well as indirect methods like networking. Generate innovative ideas and design a business plan to achieve monthly sales targets. Develop and strengthen a network of business associates to drive monthly admissions. Meet enrolment and revenue targets by strategizing based on market trends and assigned leads. Handle inbound and outbound customer calls, convert leads into sales, and achieve monthly and quarterly sales goals while managing and nurturing customer relationships. Address customer inquiries about Data Science courses, act as a consultant, and guide prospects in making informed purchase decisions. Maintain regular follow-ups with new and existing customers, log all sales activities, and document customer interactions. Identify and leverage multiple sources to achieve enrolment targets. Desired Skills: 5 to 10+ years of experience in inside sales, tele sales, and client meetings within a B2C/B2B environment. Strong communication skills, a proactive attitude, and a results-driven approach. Minimum of 5 years of relevant sales experience in the EdTech or education industry, specifically in the Data Science domain. Skilled in engaging with diverse clients to understand their training needs and provide tailored solutions. Goal-oriented with a proven ability to achieve and exceed sales targets. Experience in telephone sales, cold calling, and client meetings, including visits to corporate organizations, government bodies, and educational institutions to drive business growth and manage lead pipelines. Basic knowledge of Data Science, Big Data, and AI technologies is an advantage. Passionate about sales with a strong ability to convert leads into customers. Consistent track record of meeting or exceeding monthly/quarterly sales targets, preferably in the education sector with a focus on Data Science. Prior experience in selling software products or services is preferred. Technical Skills: Basic understanding of the latest technologies. Soft Skills: Excellent written and spoken English communication.

Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus If Interested, Kindly email your resume to neha.saluja@infogain.com with below details Current CTC Expected CTC Notice Period

Position Overview: As a Data Analyst Intern, you will play a crucial role in supporting data collection, analysis, and reporting activities for the team. This internship offers an excellent opportunity for students with strong SQL skills to apply their technical expertise to real-world data challenges and gain valuable experience. Key Responsibilities: Data Extraction & Cleaning: Extract, clean, and prepare data from various sources using SQL, ensuring consistency and accuracy across datasets. Reporting: Assist in creating ad-hoc and standard reports based on business requirements. Data Analysis: Conduct analysis to identify trends, patterns, and key insights, providing actionable recommendations. Collaboration with Stakeholders: Work closely with business teams to understand data needs and provide valuable insights. Dashboards & Visualization: Develop and maintain dashboards and data visualizations using tools like Excel or Power BI. Automation: Use Excel Macros to automate repetitive tasks, enhancing data workflows. Data Quality Assurance: Support data validation processes to ensure high data quality across systems. Statistical Analysis: Perform basic statistical analysis and summarize findings in a clear and concise manner. Presentation Preparation: Assist in preparing presentations and reports for internal teams and stakeholders. Skills & Qualifications: Currently pursuing or recently completed a B. Tech degree in Computer Science, Information Technology, or a related field. Hands-on experience with SQL for querying, manipulating, and analyzing large datasets. Proficiency in Microsoft Excel, including experience with Macros for data analysis and task automation. Strong analytical and problem-solving skills with a keen eye for detail. Basic knowledge of data visualization tools like Power BI, Tableau, or Excel (preferred). Ability to work independently and as part of a team in a fast-paced environment. Strong communication skills for conveying data insights effectively. Quick learner with the ability to adapt to new tools and technologies. Additional Preferred Skills: Experience with Excel Macros to streamline and automate data tasks (highly desirable). Familiarity with data processing tools or scripting languages like Python is a plus. What You Will Gain: Practical experience working with real-world datasets and databases. Exposure to data analysis and reporting processes in a professional setting. Opportunities to develop skills in SQL, Excel, and data visualization tools. Mentorship and guidance from experienced data professionals. A chance to work on impactful projects that contribute to the companys data driven goals.

What is the AI/ML Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-4 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

Summary Are you passionate about the intersection of data, technology and science, and excited by the potential of Real-World Data (RWD) and AIDo you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insightsIf so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions, As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines, About The Role Duties and Responsibilities: Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable and automated data and technology solutions in line with data42 strategy, Be a data Subject Matter Expert (SME), understand Real World Data (RWD) of different modalities, vocabularies (LOINC, ICD, HCPCS etc), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data, Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND etc), FAIR principles and integration with enterprise catalog Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory use of AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions, Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution, Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI, Ideal Candidate Profile PhD or MSc in a quantitative discipline ( e-g , but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in artificial Intelligence / Machine Learning, 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD), Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI, Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems, Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage, Knowledge in data standards e-g OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices, Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks or SnowFlake Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity, Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve, Why Novartis: Helping people with disease and their families takes more than innovative science It takes a community of smart, passionate people like you Collaborating, supporting and inspiring each other Combining to achieve breakthroughs that change patientslives Ready to create a brighter future togetherhttps:// novartis / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for youSign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork novartis /network Benefits and Rewards: Read our handbook to learn about all the ways well help you thrive personally and professionally: https:// novartis /careers/benefits-rewards Show

At 5X, we help companies organize their data and make it actionable Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks Thats why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl, Responsibilities Understand and analyse client's business requirements to design and implement effective data solutions, Create and optimize data models to support client reporting and analytics needs, Proactively communicate with clients to provide project updates and address any issues or concerns, Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members, Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes, Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions, Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development, Experience in designing, developing, and deploying machine learning models into production environments, Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks, Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis, Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions, Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus, Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision About 5X Were a global, remote-first company building the platform we wish we had and today, it powers the data teams building whats next At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun Whether you're designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers Our customers find it impossible to think of a world outside of 5X, We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires At 5X prioritize all 4, We wholeheartedly embrace remote work: If we cant build it from a hammock in Bali, were doing something wrong 5X fully embraces remote work We trust you will find the right balance, Transparency is fundamental to us: We put everything on the table for everyone to see This means that you have our permission to ask the tough questions and we will answer We don't like playing political games, Togetherness is at the core of our culture: We work together to maximize our potential We are there for each other and treat others as we expect to be treated This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations Check out our recent offsites here: Thailand, Sri Lanka and Bali Know About The Company Website: https://5X co/ LinkedIn: https:// linkedin /company/datawith5X/mycompany/ Glassdoor: https:// glassdoor co in/Reviews/5X-Reviews-E6110869 htm 5X in 2 minutes: https:// youtube /watchv=45Ppi00Lw70 Show

What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential!

What is the Lead Software Engineer in the FTT AI & Digital Transformation group responsible for? The Lead Software Engineer in the FTT AI & Digital Transformation group is responsible for designing, developing, and implementing cutting-edge generative AI tools-based products. These products are tailored for internal use, primarily benefiting sales and distribution teams as well as Operations teams. The engineer will collaborate closely with cross-functional teams to understand user needs, translate these requirements into technical specifications, and ensure that the solutions developed are scalable, efficient, and user-friendly. Moreover, the engineer will be at the forefront of integrating advanced AI methodologies into practical applications, driving innovation and enhancing operational workflows. What are the ongoing responsibilities of the Lead Software Engineer? Development and Implementation: Design, code, test, and deploy AI-based tools and applications using contemporary technologies. Ensure robust, scalable, and maintainable code. Collaboration with Stakeholders: Work closely with sales, distribution, and operations teams to gather requirements, understand challenges, and provide tailored solutions. Act as a bridge between technical and non-technical teams. AI Integration: Integrate generative AI algorithms and models into software products to enhance functionality and user experience. Stay updated with the latest advancements in AI and machine learning. System Maintenance: Maintain and improve existing software systems by identifying and fixing bugs, optimizing performance, and implementing new features based on user feedback. Documentation: Create and maintain comprehensive documentation for all development activities, ensuring that future modifications and maintenance can be conducted efficiently. Quality Assurance: Conduct regular testing and code reviews to ensure high standards of quality and reliability in all software products. Training and Support: Provide training and technical support to end-users, ensuring they can effectively utilize the developed tools. Gather feedback to continuously improve the products. Innovation and Research: Conduct research and feasibility analysis for new technologies and approaches to keep the company's AI tools at the cutting edge. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Software Engineering, or a related field. A masters degree is preferred. Courses or certifications in AI, machine learning, or data science are highly desirable. Work Experience: 8-10 years of experience in software development, with a focus on building AI-based applications. Proficiency in full stack development, or specialization in frontend technologies (React) or backend frameworks (Python, Django). Experience working with cross-functional teams and integrating AI solutions into business processes.

Job Purpose and Impact The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions. Key Accountabilities Continuously seek out best practices and develop skills. Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope. Take ownership for the entire data science workflow that includes a well defined, complex project scope, exploratory data analysis, model development, deployment and monitoring. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Qualifications Minimum Qualifications Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience, Confirmed ability to present to non technical audiences Strong python programming skills Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning Preferred Qualifications Master's degree or PhD in data science, computer science, math, engineering or related field Strong data visualization skills Strong SQL skills Experience working with continuous integration and delivery (CI/CD) pipelines Experience working with Hadoop and other distributed computing frameworks Experience working with AWS Experience in software development environment and code management or versioning Experience in agriculture

Advanced Process Control (APC) Python, R data visualization tools (e.g., PI Vision, Power BI, Tableau, Grafana is a plus. machine learning (ML) models OSIsoft PI System.

Job Title: Python Developer Machine Learning & AI (2-3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2-3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement

You are invited to join the dynamic team at HCL Software, a Product Development Division of HCL Tech, where we deliver cutting-edge software solutions catering to the transformative needs of clients worldwide. Our portfolio includes award-winning products in AI, Automation, Data & Analytics, Security, and Cloud domains. One of our flagship products is the HCL Unica+ Marketing Platform, which empowers our clients to execute precise and high-performance marketing campaigns across diverse channels such as social media, AdTech platforms, mobile applications, and websites. The Unica+ Marketing Platform stands out as a Data and AI first platform, enabling our customers to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. If you have a passion for leveraging Data Science and Machine Learning technologies to drive AI-driven Marketing Campaigns, we are looking for a skilled Sr. & Lead Python Developer with over 6 years of experience in this field to join our team. Qualifications & Skills: - A minimum of 6-12 years of Python Development Experience, with at least 4 years focused on data science and machine learning. - Proficiency with Customer Data Platforms (CDP) such as Treasure Data, Epsilon, Tealium, Adobe, and Salesforce is considered advantageous. - Experience with AWS SageMaker is a plus. - Familiarity with Lang Chain, RAG for Generative AI, Integration tools, and frameworks like Postman, Swagger, and API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to collaborate effectively within an agile team setup. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Responsibilities: - Proficient in Python programming, utilizing libraries like Pandas, NumPy, and Matplotlib/Seaborn for data manipulation, numerical operations, and data visualization. - Strong understanding of statistical concepts and modeling techniques, including hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning, preprocessing, and feature engineering to handle real-world data effectively. - Proficient in SQL for database management and querying relational databases. - Skilled in exploratory data analysis to identify patterns and relationships within datasets. - Hands-on experience with various machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch. - Ability to evaluate models, optimize performance, and deploy machine learning solutions in production environments. This role may involve approximately 30% travel, and the preferred location is India, with Pune being the preferred choice. If you are ready to contribute to innovative projects and be rewarded with a competitive base salary and bonus structure, we look forward to meeting you for a face-to-face interview on 2nd August in Hinjewadi, Pune.,

As a D365 Finance & Operations Functional/Technical Consultant at Databuzz, you will be responsible for leveraging your expertise in MS Dynamics D365 F&O to enhance business operations and drive efficiency. With 7-9 years of experience in the field, you will play a key role in supporting various modules such as Production (Manufacturing), Trade & Logistics, and Project Management. Your proficiency in D365 F&O will be crucial as you contribute to the success of minimum 2-3 full lifecycle implementations. Your responsibilities will include providing functional support for D365 F&O application maintenance and operations, as well as utilizing your knowledge in areas such as Purchase, Sales, Inventory, Advance Warehouse, Master Planning, and Production. Experience in these domains will be highly advantageous in delivering impactful solutions and driving continuous improvement. Databuzz is a leading provider of data analytics services, specializing in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure, and DevOps. As an MNC with operations in the UK and India, we adhere to the highest standards of data security and compliance, being an ISO 27001 & GDPR compliant company. If you are passionate about leveraging your skills in D365 F&O to make a meaningful impact, we encourage you to share your profile with us. Kindly include your Current CTC, Expected CTC, Notice Period/Last Working Day, and Date of Birth in your email to joy.praneeth@databuzzltd.com. Candidates currently serving notice period will be given preference. Join us at Databuzz and be part of a dynamic team that is dedicated to driving innovation and delivering excellence in the field of data analytics. We look forward to welcoming talented professionals like you who can contribute to our success. Warm regards, Joypraneeth Talent Acquisition Lead Databuzz Ltd,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for leveraging your deep expertise in data science and supply chain analytics to engage with global Supply Chain Leaders. Your role will involve defining analytical solutions that optimize processes, provide predictive insights, and facilitate strategic decision-making within the supply chain ecosystem. To excel in this role, you should possess a Master's degree with at least 6 years of experience in Supply Chain Analytics/Data Science, or a Graduate degree with 7+ years of relevant experience. You will be based in Bangalore, India, with flexibility to work from offices in Chennai, Pune, NCR, or Kolkata based on your preference. Key responsibilities include leading client engagements, mentoring teams, and designing advanced analytics solutions for various supply chain functions such as demand forecasting, inventory optimization, and procurement analytics. You will also be involved in developing sustainable analytical tools, overseeing technical solution architecture, and driving adoption of modern data architectures. The ideal candidate will have a deep understanding of supply chain functions, strong programming skills in Python/R, proficiency in SQL for data querying, and experience with machine learning algorithms and visualization tools such as Tableau. Additionally, leadership, consulting, and technical competencies are essential for success in this role. At Tredence, you will have the opportunity to work in a highly impactful role, take ownership of projects, and grow both thought leadership and operational leadership capabilities. You will collaborate with industry-leading talent, receive substantial performance-based compensation, and access cutting-edge analytics tools and methodologies. If you are passionate about leveraging data to drive business value and possess a growth mindset along with strong analytical, technical, and leadership skills, we welcome you to join us at Tredence on our innovative journey.,

About Northern Trust Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Job Summary Associate Consultant/Consultant, a key member of the Model Development Team, plays a crucial role in the Risk Analytics and Data Service Team. The role involves contributing individually to the development and maintenance of AML (Anti-Money Laundering) models. The ideal candidate will take ownership of the AML transaction monitoring framework and leverage data-driven approaches to enhance model performance. Job title: Associate Consultant/Consultant Location: Bangalore/Pune Experience: 4-8 years of relevant experience Major Duties - Manage, monitor, and optimize Actimize SAM models, including tuning thresholds, scenarios, and segmentation logic. - Utilize quantitative analysis, statistical modeling, and machine learning techniques to detect suspicious activity and minimize false positives. - Collaborate with model validation and governance teams to ensure compliance with regulatory requirements. - Work closely with IT and data teams to maintain the integrity and availability of data pipelines supporting Actimize SAM and related AML systems. - Assist in internal and external audits, regulatory reviews, and model validation documentation. - Engage with various committees and senior management. Qualification - Master's in Statistics/Economics/Mathematics or an advanced degree in a quantitative area. - Alternatively, B.Tech/M.Tech from a tier 1 college with an MBA in a related field. Skills Required - Proficiency in Data Science and machine learning models. - 3+ years of experience in banking and AML/Financial Crime Compliance, with direct exposure to Actimize SAM. - Strong grasp of risk concepts and quantitative modeling techniques, with experience in model validation considered a plus. - Proficiency in R, Python, SAS. - Strong organizational and interpersonal skills. - Excellent verbal and written communication skills in English. - Experience working in a multicultural and global environment. Working With Us As a Northern Trust partner, you will be part of a flexible and collaborative work culture within an organization that values financial strength and stability. Opportunities for internal mobility are encouraged, senior leaders are approachable, and you can take pride in contributing to a company committed to supporting the communities it serves. Join us in a workplace with a greater purpose and apply today to explore how your interests and experience align with one of the world's most admired and sustainable companies. Reasonable Accommodation Northern Trust is dedicated to collaborating with and providing reasonable accommodations to individuals with disabilities. If you require an accommodation during any stage of the employment process, please reach out to our HR Service Center at MyHRHelp@ntrs.com. Apply today and discuss your flexible working preferences with us as we strive to achieve greater together.,

Screen Andragogy Platforms is a screen industries technology management company that empowers professionals, organizations, and educational institutions with integrated tools, insights, and services to streamline storytelling, analytics, and product development. By utilizing AI-driven platforms and expert-led support, the company drives value across content creation, market research, and strategic growth, ensuring that every story is told professionally, efficiently, and universally. Screen Andragogy Platforms is currently seeking a consultant with expertise in media finance, AI-powered modeling, and investment strategy to support clients in the entertainment sector. The consultant will be responsible for combining advanced financial analysis with AI-enhanced workflows to contribute to custom research, automated financial tools, and strategic financial documentation for clients. This position is structured for long-term cultural and strategic alignment, with full-time hiring not being offered initially. Candidates are required to complete a mandatory one-year internship or consulting residency, during which they will collaborate closely with leadership and clients to understand the company's mission, operating model, and value delivery. Selected candidates must be willing to travel with the company for at least 12 years to achieve cultural alignment, understand cross-market financing practices, and participate in live client engagements and real-time project iterations. Only after successful completion of this phase will candidates be evaluated for full-time positions based on value creation, strategic alignment, and contribution to the Screen Andragogy Platforms ecosystem. Key Responsibilities - AI-Driven Investment Analysis: Develop predictive ROI models for film, series, and digital content using AI-powered tools. - Capital Structuring & Deal Design: Structure slate financing, co-productions, and pre-sales using automated risk analysis, model tax incentives, and support strategic financial planning for media projects. - AI Agent Training & Customization: Design and train custom financial agents, build prompt workflows for automated financial reporting, and forecasting. - Research Services: Lead research projects for clients, deliver insights on funding strategy, profitability, and global market positioning. - Document Automation Support: Assist in developing AI-generated business plans, financial summaries, and pitch documents, ensure consistency and accuracy in financial models. - Industry Trend Monitoring: Stay informed on developments in AI finance, content monetization, and entertainment investment models, evaluate new financial technologies such as blockchain, NFTs, and decentralized funding in media. Qualifications - Background & Experience: Strong foundation in finance, economics, or data science, prior experience in media finance, investment analysis, or financial technology. - Technical Proficiency: Comfortable with AI/ML concepts, financial modeling using Excel, Python, or R, understanding of APIs, automated dashboards, and data visualization. - Core Competencies: Analytical thinking, clear communication, interest in the evolving intersection of media, AI, and capital markets. The recruitment process for this role is rigorous and structured, consisting of application and screening, technical assessment, interviews, and cultural fit evaluation to assess each candidate's technical capability, strategic thinking, and readiness for long-term contribution in the intersection of AI and media finance.,

The ideal candidate should possess a Bachelor's Degree in Computer Science or B.Stat and a Master's Degree in Computer Science, AI/ML, Data Science, or Statistics. A PhD in one of these fields is highly desirable. Candidates with a Master's degree should have a minimum of 6 years of relevant industry experience, while those with a PhD should have at least 2 years of industry experience. The candidate must have excellent knowledge of Data Structures and Algorithms, with a focus on efficiently solving complex problems through optimized approaches. Strong programming skills in Python are required, with hands-on experience in developing AI/ML algorithms and working on data analysis projects. A working knowledge of C++ is essential for integrating algorithms into product pipelines. Extensive experience in designing, developing, and deploying AI/ML solutions is necessary. The candidate should also have experience in applying data science techniques such as classification and clustering, with a strong understanding of statistical methods. Proficiency in working with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) is required for solving advanced problems. Understanding and experience in working with Large Language Models (LLM) for natural language processing tasks are also important. The primary responsibility of the candidate will be to design and develop AI/ML algorithms to address complex technical challenges, specifically in the context of 3GPP standards. They will leverage AI to provide innovative solutions for telecom technologies. The candidate will also be responsible for documenting the design and functionality of developed data science and AI/ML algorithms and presenting the algorithms and their results to technical and non-technical stakeholders. Collaboration with cross-functional teams is essential to ensure the seamless integration, productization, and deployment of AI/ML models into the product pipeline. Efficient management of all stages of the AI/ML model lifecycle, from development to deployment, is also a key responsibility.,

In this role, you will have the opportunity to develop underwriting strategies for merchant lending based on existing data within the organization's ecosystem and explore alternate data sources. Your responsibilities will include: - Demonstrating functional expertise with hands-on experience in secured lending. - Assessing balance sheets and commercial underwriting. - Early assessment of segment-level loss rates and taking quick action. - Having a detailed understanding of in-house systems and being agile in changing legacy systems when necessary. - Collaborating with teams such as Data Science, Product, Business to establish and monitor underwriting strategies. - Taking portfolio actions based on offus behavior triggers from bureau or alternate data sources. - Monitoring implemented strategies to continuously assess business and risk impact. Your interaction will involve collaborating with teams such as Data Science, Product, Technology, and Business. You should have a hands-on approach to risk segmentation and proactively assess risks in the portfolio to make a positive impact. A curious mind and the ability to evaluate acquisition and portfolio level risks are essential. Some challenges and decisions you will face include constant identification of changes that need to be initiated and assessing their impact on business and risk. Qualifications and Experience: - 4+ years of Risk Analytics or Portfolio Management experience in Financial Services/Secured lending. Skills required for this role include hands-on experience in defining risk strategies, managing portfolios, building risk models and policies, as well as problem-solving and analytical thinking abilities.,