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Create, implement, and launch cutting-edge machine learning and AI-driven algorithms/predictive models to enhance Underwriting, Customer Management, Marketing, and Operational processes

Evaluate, preprocess, combine, and analyze extensive datasets using standardized data manipulation methods and techniques, utilizing tools like R, Python, and/or Apache Spark

Offer expertise and guidance on third-party data providers including knowledge of available products and data, recommendations on what to purchase or discontinue, cost-benefit analysis, data dictionaries, effective use of variables, and understanding their limitations and advantages

Create, build, and implement both linear and nonlinear algorithms for testing, development, and integration into our underwriting engine, focusing on risk management across all channels

Effectively utilize data mining techniques to optimize response and approval rates and develop strategies to boost the profitability of products

Ensure clear and detailed model documentation on Wiki Server using reproducible research tools like IPython, Rmarkdown, Jupyter Notebook, and others

Deploy scoring models on different platforms, including R, on-premise, and cloud systems, in formats like Java objects, R models, and Apache Spark models.

Serve as the primary point of contact and functional lead for business partners, ensuring support for all needs and objectives

Guide and oversee analytical projects while mentoring Junior Data Scientists



Experience and Education:

A Master's degree in a highly quantitative discipline (e.g. Economics, Statistics, Mathematics, Engineering, or similar fields)

Hands-on experience in Data Science or Modeling.

Competence in Linux and proficiency in R, Python, or Java; experience with version control tools (e.g., Git), as well as big data technologies and frameworks (e.g., Spark, Hadoop).

Proven expertise in advanced statistical modeling and substantial exposure to machine learning techniques such as Random Forest, LASSO, Gradient Boosting, Elastic Net, etc.

Proven ability to thrive in fast-paced environments with shifting priorities, while effectively communicating and collaborating with Risk Management teams and executives.

Strong data manipulation and engineering abilities, with experience in performing complex data transformations

Hands-on experience with a range of database technologies, including but not limited to MSSQL Server, SAS Datasets, Hadoop, Kafka, Spark, Redshift, HBASE, Spark Streaming, Oracle, Neo4j, Teradata, MySQL, Amazon AWS, DB2, Cassandra, PostgreSQL, Apache Hive/Impala, and NoSQL data formats (including XML & JSON ).



Required Skills, Abilities, Soft Skill Factors:

Technological Expertise - Comprehensive knowledge of Python, Scala, R, Java, SAS, SQL, MATLAB, and/or SPSS, along with risk management technologies, enabling the use of these tools to enhance organizational decision-making.

Motivational Abilities - Proven track record of meeting challenging organizational goals, instilling a sense of urgency, and overcoming obstacles to deliver results.

Analytical and Administrative Abilities - Strong problem-solving and analytical thinking skills, with the capacity to assess trends and recommend solutions to complex issues.

Communication Proficiency - Excellent verbal and written communication skills, with the ability to promote open dialogue, listen attentively, and cultivate strong professional relationships.

Innovative Thinking - Continuously challenges conventional approaches to foster new ideas and embraces a flexible mindset.

Adaptability - Demonstrates resilience and effectiveness when dealing with stress, uncertainty, difficult situations, and changing priorities.

Results-Oriented - Self-motivated and proactive in taking ownership of tasks and driving projects to completion.

Our client is seeking a highly skilled and experienced Data Scientist / ML Engineer to join their innovative team and drive impactful data-driven solutions.

In this position, you will:

* Leverage your extensive experience in Natural Language Processing (NLP) and Deep Learning to develop state-of-the-art solutions.
* Play a key role in fine-tuning small language models on proprietary company data using techniques like LoRA (Low-Rank Adaptation) for parameter-efficient fine-tuning and frameworks like LLaMA.
* Design and implement Neural Network architectures tailored to specific use cases
* Collaborate closely with cross-functional teams to understand business needs, translate them into technical requirements, and deliver scalable AI solutions.

Requirements:

* Master's degree in an analytical field such as Data Science, Computer Science, Statistics or a related discipline
* Expertise in designing, building, and deploying sophisticated industry-level Machine Learning models (Working in AWS Services)
* Proficiency in Time Series Forecasting techniques is preferred as the candidate would work on developing predictive models to support key business decisions and address complex challenges in the field of Real Estate and Finance
* Fluency in Python and SQL
* Experience with modern data warehousing solutions such as Snowflake is highly desirable and will be considered a significant advantage
* 3 days a week in the office (Flexible a to which days)



Benefits:

* Competitive salary & benefits package in line with your skill-set
* Unlimited PTO
* 20% off specific rental properties
* Health Insurances



Those interested should apply to this advert or send their CV & contact details to the address below. We shall be in touch shortly.

Contact Name: Barney Green

Email Address: b.green@tenthrevolution.com

An industry leading, Texas based, organization are looking to hire an experienced Business Intelligence Engineer as the company looks to further utilize the latest technologies available in the space.



The successful applicant for this position will be responsible for the design and development of business-critical dashboards and reports and will play an integral role in the implementation of these, as well as driving forward a data driven decision making approach.



The Data, Analytics & Business Intelligence division plays a critical role across all divisions of the organization and is an integral part of the overall growth plan and aspirations of the C-Suite. This is backed up by the investment in the latest technology available and the success they have already delivered to date.



In order to be considered for this position, candidates must have strong experience across the below:

* Business Intelligence Development
* BI Solutions (Designing, Developing, Deploying)
* Data Pipelines/Data Models/Data Reports
* Microsoft Fabric
* Azure Data Lake
* Azure Data Factory
* Microsoft 365 (Collaboration is of critical important)
* DAX
* Power BI
* Power Platform (particularly Power Automate)
* Data Governance (understanding & implementing)
* SQL
* Python



Candidates should submit a Power BI portfolio alongside a resume in order to be considered for this position.



If you are serious about finding an opportunity that will allow you to move upwards in your career, do not miss this rare opportunity.



The organization has offices in major cities across the below states. Only candidates in such locations will be considered for this opportunity.

* Arkansas
* Florida
* North Carolina
* South Carolina
* Texas



Candidates outside of these locations cannot be considered. Visa sponsorship is not available for this position.

We are currently representing a Client in Dallas (Victory Park) that is looking to expand their rapidly growing Data / Software Development team.

The team is small, but still carries senior expertise across Software Development, Data Engineering and Data Science / Machine Learning.

In order to accommodate for their ambitious growth plans, they are looking to add an additional talented Data Engineer / Software Engineer to their team. The client is open to professionals with either a primary background in data engineering OR software engineering. As long as you are willing to learn the other discipline and take part in a lot of different tasks, this makes you a viable candidate!



Requirements:

* Bachelor's degree in Computer Science
* 3+ years of professional experience as a Software Engineer OR Data Engineer
* Strong programming skills in any of the following: Python, Java, SQL etc
* The willingness to learn and develop in many different areas. This is a small company, you will be wearing many hats!
* Experience with AWS cloud or working with Snowflake Data Warehouses is a big plus
* A positive "can-do" attitude



Benefits:

* A fun team who works hard but likes to have a laugh
* The opportunity to join a fast growing company in the earlier stages. Those who want a career pathway to management / leading a team, this is your chance!
* A hybrid working model with plenty of flexibility
* Senior experts to learn off
* Attractive benefits package containing unique benefits E.g a 20% discount on rent (so as long as you live in certain rental properties)
* A flat hierarchy with no bureaucracy - this is a family owned company



Those interested in this advertisement should apply to this advert with their resume. We shall be in touch shortly.

Contact Name: Barney Green

Email Address: b.green@tenthrevolution.com

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

* Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

Tenth Revolution Group are working with a leading organization in the hospitality industry who are looking to add a Senior AI Engineer to the team on a permanent basis.

Successful applicants for this role will be able to demonstrate hands on experience designing, coding, and shipping production workloads built entirely on AWS Serverless. Applicants must have strong experience with Node.js functions running in AWS Lambda behind API Gateway, with event-driven patterns. Experience modernizing legacy services, building green-field APIs, and optimizing cold-start performance at scale will be highly advantageous.

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to undertake a transformation that will overhaul all both the data and the analytics functions of the business. The successful candidate will join a collaborative team and get the opportunity to work with some of the latest technology in the Data space.



The successful candidate for this Data Engineer role will be expected to come with strong experience leading the direction of an organizations data architecture, as well as the building of ETL pipelines, integration of data sources, and scalable data systems.



Essential Experience:

* ETL pipelines (design, development and optimisation)
* Data tools such as: Snowflake, FiveTran, AWS Lambda, AWS S3, and any other relevant tools
* SQL
* dbt



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

Position Title: Data Engineer

Job Overview:

We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

Key Responsibilities:

* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

Qualifications:

* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

* Strong understanding of database systems, data modeling, and cloud architecture.

* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

Skills & Competencies:

* Takes initiative and brings solutions, not just problems.

* Strong analytical thinking and a pragmatic approach to building systems.

* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

* Collaborative and team-oriented, but capable of working independently when needed.

* Detail-oriented, dependable, and eager to help shape a growing data function.

* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments