As a Staff Advanced Analyst, you will be a data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data-informed decisions. You will drive day-to-day analytics and create scalable data tools, identify pain points in travelling and hosting, and work with product leadership to improve experiences for our guest, host, and agent community.

In addition, you will leverage Airbnb's rich and unique data, state-of-the-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organisation. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals to help keep Airbnb's community safe and trusted.

Key responsibilities include:

• Leading and driving data-driven roadmaps for the CS Safety working groups
• Recommending actionable solutions backed by data and metrics to product and operational problems
• Building and owning an insights and reporting platform that measures and improves the effectiveness of behaviours, product interfaces, and processes across the CS Safety platform and contact centre network
• Performing data modelling of the various entities using tools and frameworks for optimising community and agent experiences
• Defining and evaluating key metrics in an unstructured problem space, including measurement of the ML models that drive product development
• Anticipating emerging safety risks through early-warning indicators, trend analysis, predictive modelling, and scenario planning to assess operational risk
• Influencing data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs, and planning among others
• Influencing experimentation and measurement strategies; conducting power analyses, defining exit criteria, and using statistical models to improve inference

Requirements include:

• A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
• Experience supporting safety, risk, Trust & Safety, compliance, or employee wellbeing in high-volume call centre or customer operations environments
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)
• Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting
• Working knowledge of schema design and high-dimensional data modelling (ETL framework like Airflow)
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment
• Comfortable operating independently with minimal planning, direction, and supervision
• Proven track record of influencing senior leaders and driving outcomes

Experience Level: Staff Employment Type: Full-time Workplace Type: Remote Category: Engineering Industry: Technology Salary Range: $176,000-$220,000 USD Required Skills: SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models Preferred Skills: Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics

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From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible.

This is a high-impact problem as our customers look at us to deliver the most out of their data.

Key responsibilities include:

• Building features and running end-to-end systems in a small team of experienced engineers and data scientists.
• Shaping the direction of our applied ML investment by engaging with engineering and product teams across the company.
• Driving the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
• Architecting and implementing robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
• Working on novel modeling techniques in the field of ML for forecasting.

What we look for:

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.
• Strong understanding of both computer systems and statistics.
• Experience developing AI/ML systems at scale in production.
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
• A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

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As a Director of Mineral Processing, you will contribute to and lead the development and execution of mineral processing strategy across KoBold's portfolio, with an initial focus on the Mingomba copper project in Zambia. You will be responsible for all aspects of process engineering from early-stage metallurgical testwork through feasibility study design and operational readiness.

Key Responsibilities:

• Own the process flowsheet design for Mingomba and future KoBold projects, from scoping through feasibility.

• Work hands-on and with your team to define and manage metallurgical testwork programs: comminution characterization, flotation optimization, hydrometallurgical evaluation, and pilot-scale campaigns.

• Evaluate and recommend processing routes including froth flotation to concentrate, SX-EW, pressure oxidation, and smelter/refinery toll arrangements. Quantify the economic trade-offs of each.

• Develop process design criteria, mass and water balances, and equipment specifications for feasibility-level engineering.

• Lead the assessment of tailings characteristics, reprocessing potential, and environmental implications of process residues.

• Build and maintain a geometallurgical framework that links ore variability (mineralogy, texture, grade distribution) to processing performance with first principles and statistical models.

• Collaborate with geologists and data scientists to integrate geometallurgical statistics into resource models, mine schedules, and economic analyses.

• Define sampling protocols for metallurgical characterization of drill core and ensure adequate coverage of ore variability.

• Ensure mineral processing assumptions are reflected in techno-economic models including TC/RC structures, payable metal calculations, and concentrate penalty elements.

• Build, lead, and mentor a mineral processing function within KoBold's Advanced Technology Group.

• Direct and manage relationships with metallurgical consultants, contract laboratories, and engineering firms.

• Serve as one of KoBold's internal experts and external representatives on mineral processing for investor presentations, partner discussions, and technical reviews.

• Contribute to feasibility study management and preparation of technical reports (NI 43-101 / JORC-compliant as applicable).

• Identify and evaluate emerging processing technologies relevant to KoBold's target commodities (copper, lithium, nickel, cobalt) along with the existing team.

• Work with mine engineers to optimize cut-off grade strategies and ore scheduling based on processing constraints.

• Partner with KoBold's data science team to apply machine learning and statistical methods to metallurgical datasets.

• Coordinate with business development and commercial teams on offtake strategy, concentrate marketing, and smelter negotiations.

• Support environmental and permitting workstreams with process-related inputs on water use, reagent consumption, emissions, and waste management.

Qualifications:

• 15+ years of experience with large-scale (ton-kton/day) chemical processes.
• Quantitative, statistical, and scientific rigor, including execution of experimental designs to optimize multistage processing of complex feedstocks.
• Experience with design/build from lab test work through large-scale production.
• Track record of managing consultants, laboratories, and multidisciplinary technical teams.
• Strong technical writing skills, including preparation of technical reports.
• Willingness to travel to project sites in Zambia and other KoBold locations (estimated 20–30%).

Preferred Qualifications:

• Experience in mineral processing, with significant time spent on copper sulfide projects from testwork through to operating plant design or commissioning.
• Direct experience leading metallurgical testwork programs and translating results into process design criteria and flowsheet selection.
• Deep understanding of comminution, flotation, hydrometallurgy, and concentrate handling for base metals.
• Experience contributing to pre-feasibility and/or feasibility studies as the responsible mineral processing engineer.
• Experience with sediment-hosted copper deposits (Zambian Copperbelt or Central African Copperbelt geology).
• Familiarity with lithium processing (spodumene flotation, acid roast, DLE) and/or nickel laterite processing.
• Experience with geometallurgical modeling and integration into block models.
• Exposure to SX-EW operations and direct copper cathode production.
• Comfort beyond spreadsheets in working with data science tools (Python, SQL) for scientific analysis.

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Responsibilities: Serve as the designated BSA Officer for our US-regulated entities and serve as the primary point of contact for state applicable regulatory agencies, the OCC and FinCEN. Own and evolve Bridge's global AML/BSA and financial crime program, including policies, risk assessments, and governance. Oversee core operations: customer due diligence, EDD, transaction monitoring, sanctions screening, SARs/CTRs, and investigations. Partner with Product, Engineering, and Risk to ensure controls are effective, scalable, and embedded into workflows. Prepare board/executive reporting, support independent audits/exams, and guide the company through supervisory processes. Lead global financial crime strategy across entities and jurisdictions as Bridge continues to grow. Accountable for regulatory change management, including tracking, interpreting, and operationalizing OCC bulletins, FFIEC updates, and FinCEN rulemaking. Provide oversight of model risk management where transaction monitoring or sanctions screening tools involve machine learning or statistical models, consistent with OCC model risk guidance. Responsibility for ensuring staff training programs meet OCC standards , including board-level AML/BSA training and documentation of attendance/completion.

Requirements: 8+ years leadership experience in AML/BSA, including responsibility for regulator-facing financial crime programs (e.g., MLRO, BSA Officer, Deputy BSA Officer). Strong working knowledge of U.S. BSA/AML, OFAC, OCC expectations, and FFIEC requirements. Comfortable in a startup-like environment , able to move between high-level strategy and hands-on work. Strong communicator who can work cross-functionally and engage confidently with regulators.

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Are you ready to contribute to the evolution of our data pipelines for our B2C division? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us.

This is an exciting opportunity for someone who excels in a creative environment, enjoys solving complex data challenges, and is eager to build impactful business insights, for this role you will directly report into the Head of Data Engineering

Responsibilities

• Develop and maintain new/current features of the data platform.
• Responsible for delivery of development projects, including scoping, writing and sizing of stories involved.
• Take ownership of BAU processes, develop area specific domain mastery, and seek means to automate them or reduce their impact.
• Proposes and advocates for changes to reduce risk, cost and overhead.
• Provide appropriate documentation for pipelines developed
• Parameterise pipelines so configuration can be changed easily without having to perform deep changes to the codebase
• Apply appropriate testing principles to ensure code is fit for purpose

Experience

• Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure
• SQL development skills
• Experience using Dataform or dbt
• Demonstrated strength in data modelling, ETL development, and data warehousing
• Knowledge of data management fundamentals and data storage principles
• Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems

What's in it for you

The expected range for this role is £50,000 - £60,000

This is a Hybrid role from our Bath Office, working three days from the office, two from home … Plus more great perks, which include;

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Wellbeing support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

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Are you ready to contribute to the evolution of our data pipelines for our B2C division? We are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who grows in a creative environment, enjoys solving complex data challenges. You'll report into the Lead Data Engineer for this position and sit within the wider Data Engineer team.

The Data & Business Intelligence team guides our organisation to become more data-driven. Our to market changes gives us a competitive edge. By ensuring visibility of objective performance data, we empower our teams to make rapid, informed decisions that enhance overall performance.

Responsibilities

• Maintain new/current features of the data platform.
• Responsible for delivery of development projects.
• Utilise established software engineering practices and principles.
• Take ownership of BAU processes, develop area specific domain mastery.
• Ensure compliance matters are followed.
• Utilise CI/CD and infrastructure as code (Terraform) for rapid deployment of changes.

Experience

• Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure.
• SQL development skills.
• Demonstrated strength in data modelling, ETL development, and data warehousing.
• Knowledge of data management fundamentals and data storage principles.
• Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems.

What's in it for you

The expected range for this role is £45,000 - £50,000. This is a Hybrid role from our Bath Office, working three days from the office, two from home. Plus more great perks, which include:

• Uncapped leave, because we trust you to manage your workload and time.
• When we hit our targets, enjoy a share of our profits with a bonus.
• Refer a friend and get rewarded when they join Future.
• Wellbeing support with access to our Colleague Assistant Programmes.
• Opportunity to purchase shares in Future, with our Share Incentive Plan.

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