Lead the enterprise analytics organization, delivering trusted business intelligence, operational reporting, executive dashboards, and advanced analytical solutions.
Compensation
The compensation range for this position is: $180,000.00 - $200,000.00 per year.
Responsibilities
Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers
Define and execute the enterprise analytics strategy
Partner with business leaders to identify reporting and analytics priorities
Deliver executive dashboards, operational scorecards, and self-service analytics solutions
Establish enterprise reporting standards, KPIs, and business metrics
Requirements
Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field.
Join an industry-leading team of veterans building the pinnacle of animation pipelines and technologies. As a Technical Animator III, you'll bridge the gap between technical innovation and creative expression.
Responsibilities
Support cutting-edge animation pipelines and tools that empower multiple animation teams.
Collaborate with cross-functional teams to bring characters and vehicles from concept to polished in-game implementation in StarEngine.
Implement character interaction systems, transitions, and behaviours that delight players.
Pursue a cross-disciplinary research project in cross-scale learning from heterogeneous evidence (lab-scale to pilot-scale) relevant to the DOE Office of Critical Minerals and Energy Innovation.
Develop methods that combine evidence across different experimental scales, conditions, and modalities to make predictions at unseen physical or operational scales.
Develop innovative learning methods, including multi-modal and surrogate modeling approaches, transfer learning techniques, physics-informed ML, and/or statistical learning methods.
Work in multi-disciplinary teams and collaborative software development.
The researcher will pursue a cross-disciplinary research project in optimization and adaptive experimental design for cross-scale scientific applications (lab-scale to pilot-scale) relevant to the DOE Office of Critical Minerals and Energy Innovation.
Compensation
Annual Salary Range: $76,600 - $126,400
Responsibilities
Develop optimization and sampling methods that leverage predictions from models trained on cross-scale heterogeneous evidence.
Develop sampling strategies to determine which experiments to run, measurements to collect, or operating conditions to use.
Develop original methodologies in numerical optimization, optimal experimental design, active learning, Bayesian optimization, sequential decision-making, and information theory.
Address adaptive sampling and surrogate-based optimization and statistical design of experiments.
Handle challenges arising from noisy, messy, missing, or sparse data.
The estimated salary range for this role, based in the United States of America is $130,000-$160,000. Compensation decisions are dependent on several factors including, but not limited to an individual's qualifications, location, internal equity, and alignment with market data. Additionally, employees are eligible to participate in one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package.
Responsibilities
Build and orchestrate multi-agent AI systems using state-of-the-art platforms, enabling agents to collaborate on task planning, data retrieval, and execution across complex business workflows.
Implement and continuously refine prompt engineering strategies, including prompt chaining, evaluation, and guardrails to improve accuracy and reliability
Build and maintain RAG (Retrieval-Augmented Generation) pipelines, including Data ingestion and indexing, Embedding generation, Retrieval optimization & Response grounding and validation
Development of scalable backend services using Python frameworks for data processing
Design and manage embedding pipelines and vector search infrastructure using tools such as Pinecone, FAISS, Weaviate, Databricks or Snowflake
Requirements
Bachelor’s degree in computer science, Statistics, Data Science, Information Systems or related field
Demand Reporting Data Analyst to join Anglian Water's Strategic Asset Management team and help shape how consumption data is understood, reported and used across the business.
Compensation
Circa £34,231 (depending on Skills & Experience)
Responsibilities
Work proactively with stakeholders to understand their reporting and analysis needs, identifying where analytics can add value to consumption reporting and business decisions.
Keep stakeholders informed, agree clear expectations and manage the delivery of analytics products.
Source relevant data using your stakeholder network, data catalogues and data architecture models, supporting improvements to data quality where needed.
Cleanse, combine and analyse datasets using relevant analytical tools such as SQL, Power BI and Excel, applying an understanding of data modelling practices and reverse engineering existing models where required.
Create compelling reports, dashboards and visuals, applying user experience principles to make complex consumption data understandable and useful.
Build and develop models that will feed directly into regulatory reporting and consumption component of the water balance
Enrich stakeholder insight of our Big Data Smart Meter set, applying quality assurance techniques and automation processes to deliver consistent reporting
Develop statistical and predictive models that improve understanding of consumption, per capita consumption, business demand and leakage, and feed directly into regulatory reporting
Carry out exploratory analysis, data mining and empirical analysis to identify trends, drivers and opportunities
Apply data science techniques such as linear and multivariate regression, decision trees, Monte Carlo analysis and neural networks to complex business problems
Operations Analyst – Fixed Income Data & Analytics, Technology
Support operational processes for Fixed Income Data across Analytics, Risk, and Attribution functions, ensuring data quality and resolving issues.
Responsibilities
Support operational processes for Fixed Income Data across Analytics, Risk, and Attribution functions.
Review and resolve issues raised through fixed income analytics audits to ensure accuracy of security-level analytics and risk exposures within portfolio management systems.
Investigate and resolve data quality issues raised by users or identified through automated testing.
Follow operational best practices and ensure work is completed within daily SLAs.
Provide support for multiple third-party/vendor applications used in fixed income analytics and risk processes.
Requirements
Strong academic record in Finance, Mathematics, Physics, or a similar quantitative discipline
Level 5 or higher qualification in Data Science, Computer Science, Statistics, Mathematics or a related quantitative subject, or equivalent professional experience