About Us At Digilytics, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients business. Founded by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time. We are currently focussed on developing a product, Digilytics RevEL, to revolutionise loan origination for secured lending covering mortgages, motor and business lending. The product leverages the latest AI techniques to process loan application and loan documents to deliver improved customer and colleague experience, while improving productivity and throughput and reducing processing costs. About The Role Digilytics is pioneering the development of intelligent mortgage solutions in International and Indian markets. We are looking for Data Scientist who has strong NLP and computer vision expertise. We are looking for experienced data scientists, who have the aspirations and appetite for working in a start-up environment, and with relevant industry experience to make a significant contribution to our DigilyticsTM platform and solutions. Primary focus would be to apply machine learning techniques for data extraction from documents from variety of formats including scans and handwritten documents. Responsibilities Develop a learning model for high accuracy extraction and validation of documents, e.g. in mortgage industry Work with state-of-the-art language modelling approaches such as transformer-based architectures while integrating capabilities across NLP, computer vision, and machine learning to build robust multi-modal AI solutions Understand the DigilyticsTM vision and help in creating and maintaining a development roadmap Interact with clients and other team members to understand client-specific requirements of the platform Contribute to platform development team and deliver platform releases in a timely manner Liaise with multiple stakeholders and coordinate with our onshore and offshore entities Evaluate and compile the required training datasets from internal and public sources and contribute to the data pre-processing phase. Expected And Desired Skills Either of the following Deep learning frameworks PyTorch (preferred) or Tensorflow Good understanding in designing, developing, and optimizing Large Language Models (LLMs), with hands-on experience in leveraging cutting-edge advancements in NLP and generative AI Skilled in customizing LLMs for domain-specific applications through advanced fine-tuning, prompt engineering, and optimization strategies such as LoRA, quantization, and distillation. Knowledge of model versioning, serving, and monitoring using tools like MLflow, FastAPI, Docker, vLLM. Python used for analytics applications including data pre-processing, EDA, statistical analysis, machine learning model performance evaluation and benchmarking Good scripting and programming skills to integrate with other external applications Good interpersonal skills and the ability to communicate and explain models Ability to work in unfamiliar business areas and to use your skills to create solutions Ability to both work in and lead a team and to deliver and accept peer review Flexible approach to working environment and hours Experience Between 4-6 years of relevant experience Hands-on experience with Python and/or R Machine Learning Deep Learning (desirable) End to End development of a Deep Learning based model covering model selection, data preparation, training, hyper-parameter optimization, evaluation, and performance reporting. Proven experience working in both smaller and larger organisations having multicultural exposure Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Consumer Industries Education Background A Bachelors degree in the fields of study such as Computer Science, Mathematics, Statistics, and Data Science with strong programming content from a leading institute An advanced degree such as a Master's or PhD is an advantage (ref:hirist.tech)
About Us At Digilytics, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients business. Founded by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time. We are currently focussed on developing a product, RevEL, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, RevUP, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players. About The Role The convergence of business know-how, data science and digital & analytics technologies to drive profitable growth : Business Understanding of what creates & what destroys business value Data Science to explore new ways to draw insights from internal & external data Digital & Analytics technology to make the solution easy to use, sustain & scale Digilytics is currently developing an AI-enabled product, RevEL, to improve credit lending operations. The product is currently targeted at lenders in the UK and US and will be extended to other markets in the future. We are looking for a data science and python engineering geek, who gets how to research and design AI models and develop & productionise them using python and python-based open source and open weighted models in a cloud technology environment. Candidate would have the aspirations and appetite in working in a growing company environment, and with relevant industry experience to make a significant contribution to our platform and products. Skills The role requires a broad range of skills, and we are currently looking for strong communicator with deep experience of data science techniques and python engineering. The role sits within the product engineering team and manages a team of data scientists and python developers to deliver world-class python-based : Understand the Digilytics vision and the latest developments in AI and work closely with the product engineering leader to architect and develop python-based applications Have hands on experience with Pytorch, Django/ Flask, API development Have experience with emerging techniques like Open Weighted LLM+RAG, Agentic AI MCP framework Responsible for the design, engineering and productionisation of all data science components of the Digilytics platform, and products like RevEL Lead a team of data scientists and python developers and create a high-performance global team across India, UK & US Liaise with multiple stakeholders and coordinate with our teams in UK, US and Skills : Ability to both work in and lead a team and to deliver and accept peer review Experience with GenAI techniques, ML, NLP & Computer Vision Strong Python programming skills and deep understanding of how to develop scalable python programs deployed in multi-node cloud environments Direct experience with deploying machine learning models into live operations through a technology platform Test performance of data driven product/models Good interpersonal skills and the ability to communicate ideas clearly at all levels Ability to work in unfamiliar business areas and to use your skills to create solutions Flexible approach to working environment and hours to meet the needs of the business and to haves : Knowledge of emerging techniques for Agentic AI Domain knowledge of Financial Services, especially lending Experience A strong mind set with proven experience working in both smaller and larger organizations having multicultural exposure Experience with managing teams of 10-15 resources 5-7 years of experience working closely with clients or technology products, and providing recommendations and solutions. Must know how to deploy models. Well-developed software skills relevant to data science domain Understanding of computational analysis, search and / or machine learning techniques Good Understanding of analytics tools and landscape Domain and industry experience by serving customers in Financial Services Proven experience of architecting machine learning pipeline to production Experience at various stages of Software-Development Background : A Bachelor degree, or higher, in Software Engineering and Computer Science with strong python programming content Formal training in related AI technology disciplines and financial services domain would be valued (ref:hirist.tech)
About Us At Digilytics, we specialize in building and delivering user-friendly AI products tailored to the secured lending and consumer industry sectors. Unlike many other tech solutions, our approach is grounded in a thorough understanding of our clients" business dynamics and the factors that drive or hinder their success. Founded by Arindom Basu, Digilytics is led by a team deeply committed to leveraging cutting-edge technology for sustainable business growth. With a collective experience of over 50 years in technology-driven transformations, our leadership prioritizes values and long-term success. Currently, our primary focus is on developing RevEL, a groundbreaking product aimed at revolutionizing loan origination processes for mortgages and secured lending. Additionally, we are working on RevUP, a product designed to enhance trade sales for consumer industry clients such as auto and FMCG companies. About The Role The role we are offering involves a unique blend of business acumen, data science expertise, and proficiency in digital and analytics technologies to drive profitable growth. Key responsibilities include: - Understanding the underlying factors that contribute to or detract from business value - Utilizing data science techniques to extract insights from both internal and external data sources - Implementing digital and analytics technologies to create scalable and user-friendly solutions Digilytics is currently in the process of developing an AI-enabled product, RevEL, with a focus on enhancing credit lending operations for lenders in the UK and US markets, with plans for expansion to other regions in the future. We are seeking a talented individual with a passion for data science and python engineering, who possesses the skills to research, design, and deploy AI models using python and cloud-based technologies. The ideal candidate should be enthusiastic about contributing to a growing company and have relevant industry experience to make a meaningful impact on our platform and products. Skills The role requires a diverse skill set, and we are specifically looking for a strong communicator with extensive experience in data science techniques and python engineering. As part of the product engineering team, the successful candidate will: - Embrace the Digilytics vision and stay updated on the latest advancements in AI - Collaborate with the product engineering leader to architect and develop python-based applications - Demonstrate proficiency with tools such as Pytorch, Django/Flask, and API development - Be familiar with innovative techniques like Open Weighted LLM+RAG and Agentic AI MCP framework - Lead a team of data scientists and python developers to drive excellence across our global operations in India, UK, and US - Engage with various stakeholders and coordinate with teams across different regions Experience We are looking for a candidate with the following qualifications and experience: - Demonstrated ability to work in diverse organizational settings, ranging from small setups to larger corporations with multicultural exposure - Experience in managing teams of 10-15 resources - 5-7 years of hands-on experience in client-facing roles or technology product environments, with a focus on deploying models - Proficiency in software skills relevant to data science - Understanding of computational analysis, search, and machine learning techniques - Familiarity with analytics tools and landscape - Domain expertise in serving customers within the Financial Services sector - Proven track record of architecting machine learning pipelines for production environments Background Candidates for this role should possess the following educational background and qualifications: - Bachelor's degree or higher in Software Engineering or Computer Science, with a strong emphasis on python programming - Formal training in AI technologies and financial services domain will be advantageous Please note: The job description mentioned above is referenced from hirist.tech,
About Us At Digilytics, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients business. Founded by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time. We are currently focussed on developing a product, Digilytics RevEL, to revolutionise loan origination for secured lending covering mortgages, motor and business lending. The product leverages the latest AI techniques to process loan application and loan documents to deliver improved customer and colleague experience, while improving productivity and throughput and reducing processing costs. About The Role Digilytics is pioneering the development of intelligent mortgage solutions in International and Indian markets. We are looking for Data Scientist who has strong NLP and computer vision expertise. We are looking for experienced data scientists, who have the aspirations and appetite for working in a start-up environment, and with relevant industry experience to make a significant contribution to our DigilyticsTM platform and solutions. Primary focus would be to apply machine learning techniques for data extraction from documents from variety of formats including scans and handwritten documents. Responsibilities Develop a learning model for high accuracy extraction and validation of documents, e.g. in mortgage industry Work with state-of-the-art language modelling approaches such as transformer-based architectures while integrating capabilities across NLP, computer vision, and machine learning to build robust multi-modal AI solutions Understand the DigilyticsTM vision and help in creating and maintaining a development roadmap Interact with clients and other team members to understand client-specific requirements of the platform Contribute to platform development team and deliver platform releases in a timely manner Liaise with multiple stakeholders and coordinate with our onshore and offshore entities Evaluate and compile the required training datasets from internal and public sources and contribute to the data pre-processing phase. Expected And Desired Skills Either of the following Deep learning frameworks PyTorch (preferred) or Tensorflow Good understanding in designing, developing, and optimizing Large Language Models (LLMs), with hands-on experience in leveraging cutting-edge advancements in NLP and generative AI Skilled in customizing LLMs for domain-specific applications through advanced fine-tuning, prompt engineering, and optimization strategies such as LoRA, quantization, and distillation. Knowledge of model versioning, serving, and monitoring using tools like MLflow, FastAPI, Docker, vLLM. Python used for analytics applications including data pre-processing, EDA, statistical analysis, machine learning model performance evaluation and benchmarking Good scripting and programming skills to integrate with other external applications Good interpersonal skills and the ability to communicate and explain models Ability to work in unfamiliar business areas and to use your skills to create solutions Ability to both work in and lead a team and to deliver and accept peer review Flexible approach to working environment and hours Experience Between 4-6 years of relevant experience Hands-on experience with Python and/or R Machine Learning Deep Learning (desirable) End to End development of a Deep Learning based model covering model selection, data preparation, training, hyper-parameter optimization, evaluation, and performance reporting. Proven experience working in both smaller and larger organisations having multicultural exposure Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Consumer Industries Education Background A Bachelors degree in the fields of study such as Computer Science, Mathematics, Statistics, and Data Science with strong programming content from a leading institute An advanced degree such as a Master's or PhD is an advantage (ref:hirist.tech)
About Us At Digilytics, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients business. Founded by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time. We are currently focussed on developing a product, RevEL, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, RevUP, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players. About The Role The convergence of business know-how, data science and digital & analytics technologies to drive profitable growth : Business Understanding of what creates & what destroys business value Data Science to explore new ways to draw insights from internal & external data Digital & Analytics technology to make the solution easy to use, sustain & scale Digilytics is currently developing an AI-enabled product, RevEL, to improve credit lending operations. The product is currently targeted at lenders in the UK and US and will be extended to other markets in the future. We are looking for a data science and python engineering geek, who gets how to research and design AI models and develop & productionise them using python and python-based open source and open weighted models in a cloud technology environment. Candidate would have the aspirations and appetite in working in a growing company environment, and with relevant industry experience to make a significant contribution to our platform and products. Skills The role requires a broad range of skills, and we are currently looking for strong communicator with deep experience of data science techniques and python engineering. The role sits within the product engineering team and manages a team of data scientists and python developers to deliver world-class python-based : Understand the Digilytics vision and the latest developments in AI and work closely with the product engineering leader to architect and develop python-based applications Have hands on experience with Pytorch, Django/ Flask, API development Have experience with emerging techniques like Open Weighted LLM+RAG, Agentic AI MCP framework Responsible for the design, engineering and productionisation of all data science components of the Digilytics platform, and products like RevEL Lead a team of data scientists and python developers and create a high-performance global team across India, UK & US Liaise with multiple stakeholders and coordinate with our teams in UK, US and Skills : Ability to both work in and lead a team and to deliver and accept peer review Experience with GenAI techniques, ML, NLP & Computer Vision Strong Python programming skills and deep understanding of how to develop scalable python programs deployed in multi-node cloud environments Direct experience with deploying machine learning models into live operations through a technology platform Test performance of data driven product/models Good interpersonal skills and the ability to communicate ideas clearly at all levels Ability to work in unfamiliar business areas and to use your skills to create solutions Flexible approach to working environment and hours to meet the needs of the business and to haves : Knowledge of emerging techniques for Agentic AI Domain knowledge of Financial Services, especially lending Experience A strong mind set with proven experience working in both smaller and larger organizations having multicultural exposure Experience with managing teams of 10-15 resources 5-7 years of experience working closely with clients or technology products, and providing recommendations and solutions. Must know how to deploy models. Well-developed software skills relevant to data science domain Understanding of computational analysis, search and / or machine learning techniques Good Understanding of analytics tools and landscape Domain and industry experience by serving customers in Financial Services Proven experience of architecting machine learning pipeline to production Experience at various stages of Software-Development Background : A Bachelor degree, or higher, in Software Engineering and Computer Science with strong python programming content Formal training in related AI technology disciplines and financial services domain would be valued (ref:hirist.tech)
Role Overview: You will be part of Digilytics, a company specializing in creating user-friendly AI products for the secured lending and consumer industry sectors. The company's approach is rooted in understanding clients" business dynamics to drive success. As a team led by experienced professionals, Digilytics prioritizes values and long-term success. Your primary focus will be on developing RevEL, a product aimed at revolutionizing loan origination processes, and RevUP, a product enhancing trade sales for consumer industry clients. Key Responsibilities: - Understand the factors influencing business value - Utilize data science techniques to extract insights from internal and external data sources - Implement digital and analytics technologies to create scalable solutions Qualification Required: - Bachelor's degree or higher in Software Engineering or Computer Science with a strong emphasis on python programming - Experience in client-facing roles or technology product environments, with a focus on deploying models for 5-7 years - Proficiency in data science techniques, python engineering, and software skills - Familiarity with analytics tools and landscape - Domain expertise in serving customers within the Financial Services sector Additional Details: Currently, Digilytics is focused on developing an AI-enabled product, RevEL, to enhance credit lending operations for lenders in the UK and US markets, with plans for global expansion. The ideal candidate should have a passion for data science, python engineering, and contributing to a growing company with relevant industry experience to make a meaningful impact on platform and products. You will work with a diverse skill set, collaborate with the product engineering leader, and lead a team of data scientists and python developers to drive excellence across global operations.,
About The Role We are looking for a proactive and technically strong Technical lead to join our SaaS product implementation team. This role involves working closely with clients, internal support/CI-CD teams, and cross-functional stakeholders to configure and deploy our Azure-based SaaS solutions. You will also contribute to building operational data structures and reports that support ongoing client success. Key Responsibilities Work directly with clients to understand requirements and configure the SaaS product accordingly. Have experience in team lead. Collaborate with support and CI/CD teams to ensure seamless deployments and stable operations. Participate in cross-functional team discussions to align product setups with client expectations and business outcomes. Implement and customize features using a technical understanding of Java, Python, SQL, and Azure services. Develop Operational Data Stores (ODS) and custom reports to support client-specific use cases. Troubleshoot and resolve technical issues in collaboration with support and development teams. Ensure clear and timely client communication across all phases of the Skills and Experience : 3+ years of experience in a technical implementation or development role within a SaaS or cloud-based environment. Strong hands-on experience with Azure, and working knowledge of Java, Python, and SQL. Demonstrated ability to work across client-facing and internal delivery/support teams. Experience in setting up/configuring SaaS products as per custom client requirements. Background in building reports and operational data stores to support client operations. Strong analytical and troubleshooting skills. Excellent written and verbal communication; confident in engaging with clients and senior Background : A Bachelors degree, or equivalent, preferably in Software Engineering and Computer Science A Master's degree, or MBA is little about us : Digilytics is an AI/ML SaaS product company based in London, UK, and were a growing organization. Our flagship product, Digilytics RevEL, is transforming the financial services industry, and were looking for a bright, motivated candidate to join us on this exciting why you might want to explore this opportunity further : Environment : As someone early in their career, youll have the chance to learn and grow in a collaborative, supportive team where your contributions Company : Digilytics was honored with the Corporate LiveWire Financial Services Fintech Company of the Year Award (2021/22) and has been featured in Tech : Our AI-driven solutions are transforming the financial services sector, and youll get firsthand exposure to this cutting-edge Culture : Digilytics is a place where everyone is equally accountable and passionate about their work. If you're looking for a company that values work-life balance, innovation, and a dynamic environment, you'll find it here! (ref:hirist.tech)
Role Overview: You will be part of the pioneering team at Digilytics, working on the development of intelligent mortgage solutions in International and Indian markets. As a Data Scientist with expertise in NLP and computer vision, your primary focus will be on applying machine learning techniques for accurate data extraction from various document formats, including scans and handwritten documents. Key Responsibilities: - Develop a learning model for high accuracy extraction and validation of documents, particularly in the mortgage industry. - Utilize state-of-the-art language modelling approaches, such as transformer-based architectures, to integrate NLP, computer vision, and machine learning for building robust multi-modal AI solutions. - Understand the DigilyticsTM vision and contribute to creating and maintaining a development roadmap. - Collaborate with clients and team members to grasp client-specific platform requirements. - Contribute to the platform development team, ensuring timely delivery of platform releases. - Liaise with multiple stakeholders, coordinating with onshore and offshore entities. - Evaluate and compile training datasets from internal and public sources, aiding in the data pre-processing phase. Qualifications Required: - Proficiency in either PyTorch (preferred) or Tensorflow deep learning frameworks. - Strong background in designing, developing, and optimizing Large Language Models (LLMs) with hands-on experience in advanced NLP and generative AI. - Skilled in customizing LLMs for domain-specific applications through fine-tuning, prompt engineering, and optimization strategies like LoRA, quantization, and distillation. - Knowledge of model versioning, serving, and monitoring tools such as MLflow, FastAPI, Docker, vLLM. - Proficient in Python for analytics applications, including data pre-processing, EDA, statistical analysis, and machine learning model performance evaluation. - Solid scripting and programming skills for seamless integration with external applications. - Excellent interpersonal skills for effective communication and model explanation. - Ability to adapt to unfamiliar business areas and leverage skills to develop solutions. - Demonstrated capability to work in and lead a team, delivering and accepting peer reviews. - Flexible approach to working environment and hours. Additional Company Details: Digilytics is a forward-thinking firm founded by Arindom Basu, focusing on leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the leadership at Digilytics is committed to building a values-first organization that stands the test of time. Currently, the company is dedicated to developing Digilytics RevEL, a product aimed at revolutionizing loan origination for secured lending, covering mortgages, motor, and business lending through AI-driven solutions.,
As an Inside Sales Analyst, your role will involve focusing on the early part of the sales cycle. This includes tasks such as mapping markets, researching target leads, generating suspect leads, and converting them into prospects. Key Responsibilities: - Mapping markets to identify potential opportunities - Researching target leads to understand their needs and preferences - Generating suspect leads through various channels - Converting suspect leads into prospects through effective communication and follow-up Qualifications Required: - 2-4 years of experience in inside sales - Industry experience in Inside Sales - Functional Area expertise in Inside Sales If there are any additional details of the company mentioned in the job description, please provide them for a more comprehensive understanding of the role.,