About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn.

About the Role

As a Forward Deployed Solution Engineer, you will be a critical part of the go-to-market team owning the technical journey from initial customer engagement through to production go-live.This is a unique opportunity to operate at the intersection of engineering, sales, and customer delivery at a high-growth startup.

You are not just designing solutions you are building and shipping them. You will partner closely with Account Executives to win strategic deals, then lead hands-on implementation to ensure customers realize value quickly. This role is ideal for someone who thrives in fast-paced environments, enjoys solving ambiguous problems, and takes pride in delivering real-world impact through production systems.

What You’ll Do

• Own the Technical Win: Partner with Account Executives to lead deep technical discovery, shape solution design, and directly influence deal outcomes
• Translate Requirements into Solutions: Turn complex, ambiguous business needs into clear technical architectures, scoped plans, and executable project roadmaps
• Build & Ship Production Systems: Develop integrations, write scripts, configure APIs, and manage data flows to deliver production-ready implementations
• Drive Time-to-Value: Lead end-to-end deployments, ensuring customers reach their initial value milestones within the first 60–90 days
• Bridge Pre-Sales to Delivery: Own the transition from sales to implementation, including scoping, SOW creation, and execution
• Act as a Strategic Technical Advisor: Guide customers on architecture decisions, best practices, and long-term scalability
• Identify Expansion Opportunities: Partner with customers to uncover additional use cases and drive continued adoption and growth
• Close the Product Feedback Loop: Surface recurring challenges and contribute to product improvements through technical insights and specifications
• Operate with Ownership: Manage multiple high-impact projects simultaneously, maintaining a high bar for quality and execution

What You’ll Need

• 5+ years of experience in technical pre-sales (Solutions Engineering, Sales Engineering)
• 5+ years in a customer-facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering)
• Strong hands-on experience building and shipping production systems in customer environments
• Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar)
• Experience working with APIs, webhooks, and system integrations
• Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows
• Experience in cloud environments (AWS, Azure, or GCP)
• Ability to translate complex technical concepts into clear business outcomes for both technical and non-technical stakeholders

Preferred Qualifications

• Experience in a high-growth startup or fast-paced environment
• Background in solution architecture or technical pre-sales
• Experience authoring Statements of Work (SOWs) and scoping customer implementations
• Familiarity with data modeling, data pipelines, and large-scale data systems
• Comfort working across the full customer lifecycle, from pre-sales through post-deployment

Your submission of this information is governed by our privacy policy and our use thereof. 

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar is on the lookout for a passionate Senior Data Scientist who possesses a passion for both games, and big data. 

This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. 

WHAT WE DO

• The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making.
• We partner with multiple departments across the company to design and implement data and pipelines.
• We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications.
• The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games.

RESPONSIBILITIES

• Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate.
• Assure Rockstar’s ongoing competitive advantage by providing high quality insights and in-depth analyses, aligned to strategic initiatives and design intentions.
• Tell impactful stories with data through insightful, actionable reports and presentations.
• Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data.
• Identify and lead analytic value-add projects and experiments aligned with long-term strategic initiatives.
• Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities.
• Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions.
• Help mentor and develop the skillsets of the junior team members within your team or department.

REQUIREMENTS

• 5+ years in a data science role required.
• Experience in writing production-stable code (preferably PySpark), pushing models and data pipelines to production, and iterating on models in production.
• Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference.
• Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression.
• Excellent SQL skills and experience using Python for machine learning / statistical analysis.
• Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau.
• Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders.
• Strong problem-solving skills with the ability to reconcile technical and business perspectives.
• Passion for video games and knowledge of the industry.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks and MLFlow.
• Graduate degree (MBA, MSc or Master’s, PHD), an asset.
• Game industry experience, an asset.
• Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background.

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.  

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-AH1

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar is on the lookout for a passionate Data Scientist who possesses a passion for both games, and big data. 

This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. 

WHAT WE DO

• The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making.
• We partner with multiple departments across the company to design and implement data and pipelines.
• We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications.
• The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games.

RESPONSIBILITIES

• Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate.
• Assure Rockstar’s ongoing competitive advantage by providing high quality insights and in-depth analyses, aligned to strategic initiatives and design intentions.
• Tell impactful stories with data through insightful, actionable reports and presentations.
• Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data.
• Identify and lead analytic value-add projects and experiments aligned with long-term strategic initiatives.
• Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities.
• Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions.
• Help mentor and develop the skillsets of the junior team members within your team or department.

REQUIREMENTS

• 2+ years in a data science role required.
• Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference.
• Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression.
• Excellent SQL skills and experience using Python for machine learning / statistical analysis.
• Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau.
• Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders.
• Strong problem-solving skills with the ability to reconcile technical and business perspectives.
• Passion for video games and knowledge of the industry.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience in writing production-stable code (preferably PySpark), pushing models and data pipelines to production, and iterating on models in production.
• Experience with Databricks and MLFlow.
• Graduate degree (MBA, MSc or Master’s, PHD), an asset.
• Game industry experience, an asset.
• Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background.

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.  

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-AH1

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is on the lookout for a skilled Analytics Engineer with strong software development skills who is passionate about games and big data.

This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. 

WHAT WE DO

• The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
• We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games.
• We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.
• The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team.

RESPONSIBILITIES

• Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team to leverage for deriving insights. Collaborate with the Data Engineering team to design data models and data pipelines. 
• Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability.
• Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.  
• Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes.
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow. Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes.
• Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc.
• Define and implement monitoring and alerting policies for data solutions. 

REQUIREMENTS

• 3+ years of experience in analytics engineering or data engineering Python. 
• Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
• Experience working in Databricks & Azure environment (or other cloud equivalents).  
• Experience working with pipeline scheduling tools such as Airflow & Astronomer.
• Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background. 
• 3+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries.
• Ability to push the frontier of technology and freely pursue better alternatives.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Streaming or NRT modeling experience.
• Experience with PySpark.
• Passion for technical mentorship. 

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. 

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-CG1