This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
Requirements
Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field
Bachelor’s degree with equivalent technical experience
During this program, you will help digitize vivarium operations which include data standardization, workflow design, web application development and deployment and analytics.
Compensation
The base pay range for this opportunity in the U.S. is $35.34 - $41.20 per hour.
Responsibilities
Support the digitization and modernization of vivarium operational data by evaluating existing room-log workflows, developing standardized data and metadata structures, and creating a prototype digital workflow for capturing and analyzing vivarium activities.
Support the development of a web application or tool to support structured data capture.
Develop a visualization and analytics system around the vivarium operational data to improve laboratory scientist efficiency.
Assist the Data Sciences team in FAIR data normalization and harmonization.
Collaborate and communicate new digital workflow with end users and non-technical experts.
This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
As the Senior Product Analyst in Send for Partners, you’ll sit at the centre of one of Wise Platform’s biggest products: helping the world’s largest banks and platforms send money across borders. You’ll work with the Send for Partner’s team to uncover opportunities that shape the product roadmap, measure success of initiatives and performance against KPIs, and work cross functionality to support product features from ideation to scale.
Compensation
Base salary of £60k - £85k (based on experience)
Responsibilities
Deliver high-impact, scalable data solutions such as building and maintaining robust models and data products
Proactively manage team KPIs, ensuring clear measurement and understanding of product performance, undertaking deep-dives and providing actionable recommendations to drive product objectives and roadmap
Leverage advanced analytics, crafting dashboards and visualisations that bring product performance data to life, tell a clear story, and offer diagnostic power
Conduct opportunity sizing for product initiatives to understand short-term and long-term impacts against key performance indicators and our long term vision
Support product discovery through initiatives such as market sizing, research, and scenario modelling to inform the product roadmap
Create and enhance quantitative platforms for clients and portfolio managers by building scalable tools for strategic asset allocation, risk management, and insurer/pension.
Compensation
$123,000 - $123,000 per year
Responsibilities
Build scalable tools for strategic asset allocation, risk management, and insurer/pension
Develop portfolio construction analytics and decision-support tools
Support insurance and pension initiatives using machine learning
Present on topics in client engagements
Provide market intelligence for insurance and pension clients
Build and deploy AI solutions for clients across BCG regions, partnering with multidisciplinary teams and leading thought leadership in scientific communities.
Compensation
The base salary for this role is at least EUR 54.000,00. Employees may also be eligible for an annual discretionary performance bonus.
Responsibilities
Apply software development practices and standards to develop robust and maintainable software
Actively involved in every part of the software development process
Guide non-technical teams and consultants in best practices for robust software development
Optimize and enhance computational efficiency of algorithms and software design
Collaborate in teams to share software design and solution ideas
Requirements
Master’s or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field
Build the internal web tools and dashboards that decisions get made on, pulling from existing data sources to answer real business questions, including geospatial tooling.
Build and ship internal web tools and dashboards on top of existing Client data sources, owning them from prototype through the version leaders rely on.
Start from the decision, not the dataset — work with TPMs and engineering partners to turn a vague business question into a scoped tool, then iterate quickly on their feedback.
Design the data layer behind those tools — queries, transformations, and pipelines that keep them current without manual intervention.
Extend our geospatial tooling with new attributes, data sources, and visualizations that sharpen where and how we expand service.
Handle realworld data honestly — surface coverage gaps, flag lowconfidence results, and make each tool's assumptions visible to the people acting on its output.
Requirements
BS or MS in Computer Science, Data Science, Engineering, or a related quantitative field
Lead engagement teams in data management, governance, and analytics to deliver business value for clients.
Compensation
The base salary for this job is $179,475.00 per year.
Responsibilities
Demonstrate in-depth data management and governance knowledge
Design methodology and execute activities to identify business needs
Utilize data strategy and governance to highlight client challenges
Gather AI Ready Data and leverage for client goals
Analyze data using Enterprise Intelligence
Requirements
Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Master’s degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Design and evolve a biological research platform that turns experimental work into organized, accessible, analysis‑ready data.
Compensation
The salary range for this role is $74,000 - $126,500.
Responsibilities
Learn how experiments are run and how samples and results are tracked, and identify where manual handling slows progress.
Identify recurring needs, design reusable data models and workflows, and carry them through implementation, testing, and operation.
Design schemas and interfaces spanning computational screening inputs and outputs through final experimental records, connecting compute and experimental work and enabling powerful querying.
Build or orchestrate pipelines that parse heterogeneous files and records, harmonize metadata, validate results, and load shared systems, replacing repetitive manual steps with recoverable workflows across laboratory records, cloud storage, databases, and external services.
Make data available through APIs, visualizations, and AI‑enabled interfaces.
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