The Team: The Data science team within GPS.ai will be responsible for building and executing a bold vision around using Machine Learning, Natural Language Processing, Data Science, knowledge engineering, and human computer interfaces for augmenting various business processes.

The Impact: This role will have a significant impact on the success of our data science projects ranging from choosing which projects should be undertaken, to delivering highest quality solutions, ultimately enabling our business processes and products with AI and Data Science solutions.

What’s in it for you: • This is a high visibility team with an opportunity to make a very meaningful impact on the future direction of the company. You will work with senior leaders in the organization to help define, build, and transform our business. • You will work closely with other senior scientists to create state of the art Augmented Intelligence, Data Science and Machine Learning solutions. • The team actively participates in top-tier academic and industry conferences by publishing research and organizing workshops. Depending on your interest, you can be part of these efforts.

Responsibilities: As an NLP Data Scientist you will be responsible for building AI and Data Science models with a focus on mining insights from text corpora. You will need to rapidly prototype various algorithmic implementations and test their efficacy using appropriate experimental design and hypothesis validation.

Basic Qualifications: BS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/text mining, or related field with 5+ years of relevant industry experience. There is some flexibility in adjusting the seniority to your level of education and experience.

Preferred Qualifications: • MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/text mining with 3+ years of relevant industry experience. • Experience with Financial documents such as SEC filings, financial reports, credit agreements, business news, or S&Ps credit ratings process is a plus.

What we look for in your background: • Creativity, resourcefulness, and a collaborative spirit. • Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classification of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. • Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. • Proficient programming skills in a high-level language (e.g. Java, Scala, Python) • Being comfortable with rapid prototyping practices. • Being comfortable with developing clean, production-ready code. • Being comfortable with pre-processing unstructured or semi-structured data. • Experience with statistical data analysis, experimental design, and hypotheses validation • Project-based experience with some of the following tools: • Natural Language Processing (e.g., Spacy, NLTK, ClearTK, ScalaNLP/Breeze, ClearNLP, OpenNLP, or similar) • Applied machine learning (e.g. libSVM, Shogun, Scikit-learn, SparkML, H2O, or similar) • Information retrieval and search engines, e.g. ElasticSearch/ELK, Solr/Lucene • Distributed computing platforms, such as Spark, Hadoop (Hive, HBase, Pig), GraphLab • Databases (traditional and noSQL) • Proficiency in traditional Machine Learning models such as SVMs, LDA/topic modeling, HMMs, graphical models, etc. • Familiarity with Deep Learning architectures and frameworks such as PyTorch, Tensorflow, Keras. GPS.ai is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law. Only electronic job submissions will be considered for employment.

Position Summary

The Investments AI team at GPS.AI develops AI-first products (apps and services that use machine learning to inform and assist their users) for both insurance and investment arms of GPS.AI. This is mainly achieved through:

Incubation of disruptive innovation (via scientists, engineers and designers working together)

Machine learning R&D (and publication in top AI/ML conferences and journals)

Provision of machine-learning advisory / consulting to GPS.AI's global businesses.

As a critical role in Investments AI’s success, we are looking to hire NLP scientists - with Deep Learning expertise – to join our team and contribute to the development and implementation of the algorithmic core of a series of exciting new products / projects.

This is an exciting opportunity for those who want to enjoy state-of-the-art R&D and be challenged and grow as a Deep Learning Scientist; along the way this role will contribute to game-changing products for the multi-trillion-dollar insurance industry and use GPS.AI’s global network to deliver impact and change.

Responsibilities and Performance Objectives

• Employ the best of NLP (and Deep Learning) research for solving business problems - disrupting the current practice in insurance and investment.

• Build and refine algorithms that can find “useful” patterns in large multi-modal data (particularly, text, conversations, and transactional data).

• Provide the business with new product ideas, as well as data-driven apps, insights and strategies.

• Communicate (both oral and written) with colleagues and stakeholders (both internal and external).

• For more senior candidates: Lead, inspire and mentor junior scientists and research assistants / interns.

Required Attributes

Both senior candidates (e.g., with years of post-doctoral and/or commercial experience) and junior candidates are welcome to apply; we have and will offer positions appropriate to expertise and level of experience.

The minimum required skills include:

• An advanced degree in a numeric discipline (e.g., Statistics, Machine Learning, Computer Science, Engineering, and Physics).

• Completion of one significant project (equivalent of a PhD research project, and/or a viable commercial product) in one or more of the hiring themes.

• Experience in core NLP and text analytics tasks and application areas (e.g., text classification, topic detection, information extraction, Named Entity recognition, entity resolution, Question-Answering, dialog systems, chatbots, sentiment analysis, event detection, language modelling).

• Scientific expertise, strong track record, and real-world experience in Deep Learning, especially with hands-on experience in hyper-parameter tuning and deep construction / distribution (e.g., architecture design in CNN/RNN/LSTM, attention mechanisms, parameter initialization, activation, normalization, and optimization).

• Expertise in programming (e.g., Python, C++ or Java/Scala) and computing technologies (high-performance computing, e.g., CUDA).

• Ability to use existing deep / machine learning libraries (e.g., TensorFlow, Torch, Theano, Caffe, scikit-learn, Deeplearning4j, and Chainer).

• Familiarity with existing Open Source NLP libraries and utilities (e.g., Stanford CoreNLP, spaCy, fastText, AllenNLP, PyTorch-NLP, Gensim, word2vec, GloVe). Experience in mining large-scale, multi-domain text corpora and streams.

• Experience with the data and platform aspects of the projects.

• Review, direct, guide, inspire the research of the more junior scientists in the team (especially applicable to more senior candidates).

An ideal candidate (is not required to, but) will also have

• Track record in integrating deep learning with real-time computing (including mobile apps and front-end systems).

• Experience in employing deep learning in a commercial setting – in collaboration with product development teams.

• Experience in one or more the following: knowledge extraction and knowledge graphs; text summarization; semantic role labelling; information retrieval; Natural Language Generation; NLP resource development and management, crowdsourcing; NLP evaluation and testing.

• Experience of working with engineering and design / product teams.

• Broad knowledge of machine learning (including topics such as graph theory, hierarchical modeling, and Bayesian inference).

• Practical experience of modern big-data computing ecosystems (e.g., Apache Spark).

• The ability to engage with business stakeholders (with excellent oral and written communication skills).

It has been and will continue to be the policy of GPS.ai and its subsidiaries and affiliates to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

At GPS.AI, we believe that diversity and inclusion are critical to our future and our mission – creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.

GPS.AI's Center of Excellence for Advanced Analytics has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects covering technologies and solutions from AI to optimization and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to GPS.AI.

GPS.AI is currently seeking a Director to join our GPS.AI - Center of Excellence for Advanced Analytics.

Responsibilities:

• Lead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)

• Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; Manage complex workstreams, expectations, budgets, deliverables, and multiple responsibilities using structured approaches for operational excellence and communicating results to executive level audiences

• Work with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data and operational data)

• Leverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs and Semantic Search

• Plan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery while working with team members to capture assumptions, risks, and develop approaches to mitigate issues

• Refactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading and distributed processing to achieve throughput goals Qualifications:

• Minimum of ten years of experience leading teams of at least ten data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds

• Master’s degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred

• Ability to work with the business to understand business goals to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; With expertise in delivering projects using leading processes including strong knowledge of data discovery, cleaning, model selection, validation and deployment

• Understanding of data preparation, machine learning, deep learning, natural language processing, and development practices (testing, code design, complexity, and code optimization); Ability to discuss mathematical formulations, alternatives, and impact on modeling approach

• Fluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly; Work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)

• Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

The GPS.ai Organizational Research & HR Innovation team was established to help transform Human Resources with science, technology and human intelligence. Our team uses machine learning and other data science techniques to derive insights that inform our people strategy, build innovative A.I. based technology solutions and we partner with internal teams on large strategic and transformational projects, helping them develop more standardized, rigorous and scientifically driven talent processes.

We are looking for a data scientist who can help us apply cutting edge NLP and machine learning techniques to our rich data set. You will be solving complex data problems with a multi-disciplinary team of scientist, engineers and talent management experts. You will be working in partnership with renowned professors and psychologists who will help guide your work based on well-established research studies.

Basic Qualifications:

• Minimum 3 years’ experience in a machine learning/NLP role

• Strong academic background (Ph.D. preferred) in a related field Computer Science, Engineering, Physics or Mathematics

• Solid background in statistical machine learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs etc.)

• Experience with statistical modelling

• Comprehensive coding experience in at least one object-oriented programming language (Java, Scala, C++, Python)

• Expertise in the design and analysis of data structures and algorithms

• Excellent analytical skills - ability to analyze large datasets, detect and correct errors, interpret and report results to various audiences

• Excellent interpersonal and communication skills, both written and verbal

• Results-oriented ability to handle multiple, time-sensitive projects while focusing on the quality

• Team player collaborative and focused on collective objectives and goals

Preferred Qualifications:

• Expertise in building ontologies, taxonomies, and semantic relation frameworks

• Experience in one or more of the following areas: entity/relation extraction, normalization, text summarization, semantic search, word/paragraph/document embedding, ranking, ontology-aware IR, question answering systems

GPS.ai is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

GPS.ai will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

At GPS.ai, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience. Help us build a better GPS.ai. It all begins with outstanding talent. It all begins with you.

GPS.ai - Artificial Intelligence Technology team is looking for a highly motivated and experienced Analytic Consultant Natural Language Processing (NLP) expertise with Python & Java Development background to architect design, develop NLP technologies and algorithms to deliver AI initiatives in the bank.

The ideal candidate for this exciting new development position has a passion for technology and demonstrates can quickly learn and adapt to new technologies with a drive towards continuous improvements in the way technology solutions are delivered across multiple line of businesses.

Job Function Includes: Duties include providing data-driven insights, developing analytical strategies, developing the most complex analytical models for a wide array of business initiatives. Development of common NLP techniques such as Tokenization, language Identification, part of speech tagging, named entity recognition etc., Develop NLP / NLU modules using Spacy, Stanford NLP, Machine Learning using Keras with Tensorflow backend. Use Sequence To Sequence Models and Neural Modules for ML model training and inference. Focus on Machine Learning techniques, neural networks, to train and deploys Models on NLP Platform. Develop Model as Service and NLP API's for integration with other banking internal systems. Serving as an in-house expert on NLP and speech analytics, teaching others advanced techniques and using state-of-the-art methods. Reading, understanding and implementing algorithms and other techniques from academic papers.

Required Qualifications • 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Master’s degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling • 2+ years of experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant • 4+ years of experience in Java or Python NLP machine learning frameworks such DL4J or ND4J • 3+ years of experience with machine learning model development • 3+ years of experience with Waterfall and Agile project methodologies • 2+ years of experience developing and using RESTful Application Program Interface (API)

Desired Qualifications • Extensive knowledge and understanding of research and analysis • Strong analytical skills with high attention to detail and accuracy • Excellent verbal, written, and interpersonal communication skills

Other Desired Qualifications • Ideally possess a degree or PhD in computer science or statistics or related quantitative field. • Knowledge in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant are required. • Outstanding problem-solving skills • Strong analytical skills with high attention to detail and accuracy • Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives • Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations. • Knowledge and understanding of database design, data extraction, data modeling and transformation with SQL / NoSQL databases. • Knowledge and understanding of application ownership: including responsibility for development, maintenance, and ongoing technology support (troubleshooting, monitoring, performance tuning etc.

Disclaimer All offers for employment with GPS.ai are contingent upon the candidate having successfully completed a criminal background check. GPS.ai will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act. Relevant military experience is considered for veterans and transitioning service men and women. GPS.ai is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

At GPS.ai, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience. Help us build a better GPS.ai. It all begins with outstanding talent. It all begins with you. Enterprise Finance drives financial management for the company and maintains and enhances risk and financial controls.

Key functions within Enterprise Finance include finance and accounting; Treasury; corporate development, mergers, and acquisitions; Data Management and Insights, the Customer Remediation Center of Excellence, Enterprise Shared Services, Business Process Management, and Corporate Strategy. Enterprise Finance informs shareholders, regulators, taxing authorities, team members, and leaders of the company’s financial performance through earnings releases, investor meetings and conferences, and meetings with regulators and credit rating agencies, following appropriate reporting guidelines. They also maintain and enhance risk and financial controls and lead many of the company’s shared services functions including corporate properties, security, and global services. Data Management and Insights (DMI) is transforming the way that GPS.ai uses and manages data. Our work enables GPS.ai to empower and inform our team members, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers’ financial needs.

The Natural Language Processing (NLP) Data Science team in Enterprise Analytics and Data Science (EADS) is responsible for developing and deploying NLP, machine learning (ML), and AI (Artificial Intelligence) solutions for key strategic Enterprise initiatives such as customer experience improvement, risk management and compliance, business operational excellence, and team member experience. The team is looking for an experienced analytics leader to manage the AI/NLP model development for Chatbot/Virtual Assistance areas. As the leader for the team, you will be responsible for building and managing a team of data scientists to design, develop, and implement Chatbot models focusing on team member and customer virtual assistance for the enterprise and GPS.ai lines of business. You will be leveraging unstructured data such as emails, text messages, notes, voice data, and semi-structured data in combination of structured data to build Chatbot models using deep learning and machine learning techniques. You will be responsible for relationship management with business functional executives within GPS.ai lines of business to frame the problem, select the right approach, resources, and tools to meet business requirements. Partnering with GPS.ai AI technology team, GPS.ai AI business solution team, and LOB executives, you and your team will deliver and deploy AI/ML models on the AI open source platform to scale these solutions and embed them in the operational processes. You will also be working with the enterprise model governance and validation teams to ensure the modeling process and procedures meet corporate model risk policy and requirements. You and your team will contribute to the establishment of a working model that consists of standardized processes, repeatable modules, and approved artifacts to scale up the model review and validation process to improve efficiency in a controlled framework.

KEY RESPONSIBILITIES INCLUDE: • Build and grow a team of data scientists responsible for AI-NLP model development in support of Chatbots development • Design, develop, and deploy AI/ML models using state of the art NLP/Deep Learning (DL)/ML techniques available in the open stack and/or vendor solutions • Partner with LOB business executives to frame the problem, manage the model development process, and business relationship • Manage a portfolio of the data science projects including the following responsibilities: • Help finalize project scope working with business partners • On-going touch-base with business partners and governance stakeholders • Define priorities in partnership with the business partners during on-going development • Partner with corporate risk teams to understand model risk policy and its implications to model development, review, and monitoring • Adhere to corporate model risk policy and ensure compliance with model risk management • Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes • Contribute to NLP data science teams group effort to stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. • Work with AI technology and production teams to operationalize models • May be called upon to review vendor models and solutions and/or models developed outside of EADS As a Team Member Manager, you are expected to achieve success by leading yourself, your team, and the business.

Specifically, you will: • Lead your team with integrity and create an environment where your team members feel included, valued, and supported to do work that energizes them. • Accomplish management responsibilities which include sourcing and hiring talented team members, providing ongoing coaching and feedback, recognizing and developing team members, identifying and managing risks, and completing daily management tasks.

Required Qualifications • 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling • 4+ years of management experience • 2+ years of Python experience • 2+ years of Natural Language Processing (NLP) experience • 4+ years of experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, or 4+ years’ experience as a Virtual Assistant Desired Qualifications • Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members • Meeting facilitation experience in leading discussions that result in consensus and commitment • Strong analytical skills with high attention to detail and accuracy • A Master's degree or higher in a quantitative discipline

Other Desired Qualifications • 4+ years managing or directing data scientist/ statistician/ data engineer teams • Technical skills: Familiarity and comfort with data pipelining and movement tools and tools for predictive analytics/ NLP/ machine learning • Experience building Chatbots that have been implemented/productionalized • Hands on experience with deep learning toolkits such as Tensorflow, Keras, PyTorch, Dynet • Hands on experience writing data processing and data pipeline for Chatbot model development including gathering and building datasets to collect intents, cleaning messy data, designing feedback loop on data needs • Experience building intent recognition and classification models. Experience with phrase level identification. • Hands on experience with BERT, ELMO, CRF models. • Hands on experience with data labeling design for intent classification • Experience with active learning and reinforcement learning • Experience with open source chatbot platforms • Strong analytical and problem-solving experience to aid decision making, in areas such as customer experience improvement and operations optimization • Detail oriented. Experience with model governance requirements. Able to de-mystify AI models to make them transparent and explainable • Experience with agile project management methodologies for data science

Disclaimer All offers for employment with GPS.ai are contingent upon the candidate having successfully completed a criminal background check. GPS.ai will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act. Relevant military experience is considered for veterans and transitioning service men and women. GPS.ai is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.