The Data And AI Podcast

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

To Apply for this Job Click Here

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Staff Growth Product Analyst

US Remote

$200-240k base + equity

About the Role:

We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.

Role Highlights:

• Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
• Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
• Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
• Influence strategic decision-making through rigorous data analysis and compelling recommendations.
• Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.

Who You Are:

• You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
• You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
• You thrive on solving complex analytical problems with high energy and intellectual rigor.
• Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
• You have previous experience (or a strong interest) in working with AI or machine learning-driven products.

Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Steward
Central London | Hybrid Working
£50,000 + Bonus + Benefits

We’re working with a global private markets investment manager to help hire a Financial Data Steward into their growing operations and finance function. This is a newly created, high impact role, offering the opportunity to take ownership of data governance across critical financial datasets and embed a culture of data excellence within a top tier investment firm.

The Company
This organisation is a major player in private markets, with a multi strategy approach covering private equity, credit, infrastructure, and secondaries. They operate across a global network of offices and manage assets exceeding €190 billion. As part of their secondaries investment platform, they are making significant investments into operational infrastructure, with data at the heart of this transformation.

The Role
This is a key position responsible for establishing and championing best-in-class data governance practices across finance-related workstreams. You’ll lead initiatives to improve data quality, reconciliation, and reporting across fund-, portfolio-, and investor-level datasets. Working closely with Finance, Operations, and Investment teams, you’ll be accountable for building the foundational controls and tooling that ensure the integrity of data underpinning investment decisions, regulatory reporting, and business strategy.

You’ll also act as a key data ambassador, delivering training, documentation, and ongoing support to raise data literacy across teams and drive consistent, high-quality data capture and usage.

Key Responsibilities

• Reconcile fund and investment data between internal systems and third-party sources, including fund administrators, custodians, and data vendors.

• Own and maintain the finance data catalogue, capturing lineage, ownership, definitions, and sources for critical data elements.

• Build and maintain Power BI dashboards to visualise data quality KPIs, reconciliation breaks, and performance insights for Finance and Investment leadership.

• Define and implement data-quality rules to improve accuracy, completeness, and timeliness of core datasets.

• Collaborate with accounting, reporting, and analytics teams to embed data governance practices and support issue resolution.

• Lead root- ause investigations of data discrepancies and implement corrective actions that strengthen controls and minimise risk.

• Deliver training and guidance across teams to embed a culture of “right-first-time” data capture and stewardship.

Your Experience & Skills

• Proven experience reconciling complex financial data across internal systems and third-party sources.

• Strong track record in data quality management, including defining KPIs, implementing rules, and automating exception handling.

• Advanced Excel skills with comfort navigating and manipulating large data sets.

• Experience using Power BI (or similar tools) to surface data insights and support decision-making.

• Clear communicator with the ability to document standards and work with both business and technical teams.

• Strong attention to detail, analytical thinking, and a continuous improvement mindset.

Desirable Competencies

• Comfortable influencing across departments without formal authority.

• Familiarity with private markets or asset management environments is a plus.

• Experience managing data governance in regulated financial settings.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Software Engineer
Shoreditch | Hybrid – 2 Days in Office Weekly
£80,000 – £120,000 + Benefits

The Company
This is a UK-headquartered, science-led technology firm born out of elite-level R&D. Over the past two years, they’ve grown from 30 to over 140 employees and are solving some of the world’s most technically complex challenges across sectors including medical devices, aerospace, renewables, and semiconductors.

Their core mission is to develop high-performance platforms that power next-generation simulation and predictive technologies. With a team made up of top-tier engineers, scientists, and technologists, they’re now building out their internal engineering capability following a strategic shift from services to product.

The Role
As a Senior Software Engineer, you’ll be part of a cross-functional product team, contributing across the full software development lifecycle. This is a hands-on technical role with significant architectural input, and you’ll be expected to own design and delivery of core backend systems, helping to manage the huge data volumes generated by physics-based and ML-driven simulations.

You’ll work on novel problems in performance computing, data infrastructure, and scalable systems, collaborating with domain experts and ML engineers to build robust, production-grade solutions.

Key Responsibilities

• Lead end-to-end development: design, build, deploy, and support software solutions.

• Drive architectural decisions and help define engineering best practices.

• Work with large datasets and infrastructure tailored to simulation/ML environments.

• Collaborate closely with data scientists and engineers in multi-disciplinary teams.

• Mentor junior developers and contribute to a high-quality engineering culture.

Tech Stack

• Core: Python, Django, SQL, AWS

• Infrastructure: Kubernetes (must-have), Docker, Helm

• Frontend: TypeScript, React, HTML/CSS

• Experience with scalable architectures and large data processing pipelines is key.

Ideal Profile

• Experience in software engineering (flexible if you’ve had significant impact).

• Background in building platforms or infrastructure at product-led tech companies or consultancies.

• Strong system design and architecture experience, especially for data-intensive environments.

• Comfortable working in fast-paced, high-ownership environments.

• Excellent communication skills and a collaborative mindset.

Work Policy

• Hybrid working with 2 days per week in-office (based in Shoreditch).

• Full remote flexibility or travel/accommodation support is not offered at this level.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Management Consultant
Central London | 3 Days On-Site Weekly
£90,000 per annum

We are working in partnership with a global consultancy that is expanding its Investment Management practice following a key strategic acquisition that has strengthened its capabilities. As part of this growth, they are implementing a critical data management solution across multiple investment firms and are seeking a talented Data Management Consultant to lead workstreams and drive success on high-impact projects.

The Team
Operating within the Investment practice, this team delivers comprehensive data solutions tailored for the Investment Management industry. With strong relationships with top-tier data management vendors, they are at the forefront of major industry initiatives. Demand is high, and this is a prime opportunity to join a growing team that is shaping data strategies across leading platforms.

The Role
As a Data Management Consultant, you will lead delivery workstreams and potentially manage teams across client engagements. Your expertise in Investment Management and data platforms will be crucial in driving outcomes and ensuring successful implementations. You’ll be instrumental in building and delivering innovative data solutions for top-tier clients while contributing to the continued growth of the practice.

Key Responsibilities

• Lead project workstreams and contribute to the delivery of complex data management solutions.

• Collaborate with stakeholders across Investment Management firms to define and implement data strategies.

• Provide hands-on expertise in platform configuration and solution deployment.

• Drive high-impact outcomes through structured project delivery and industry insight.

Skills & Experience Required

• Proven track record leading workstreams within large-scale programmes, ideally involving platforms like Aladdin, Markit EDM, or GoldenSource.

• Deep understanding of the Investment Management landscape, including asset classes, issuers, and operational workflows.

• Strong hands-on experience in configuring and implementing data management systems.

• Experience in Wealth Management will also be considered where relevant.

How to Apply
If you’re ready to take the next step in your career with a leading global consultancy, please submit your CV via the Apply link on this page.

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ML OPS ENGINEER – RELOCATION TO BARCELONA

We are working with an incredible start up company who have just gained pre-seed funding to join the team as a ML Ops Engineer. The role does require relocation to Barcelona.

Requirements:

• 5+ years ML Ops experience
• AWS & GCP
• Docker & Kubernetes
• Open to relocation

To Apply for this Job Click Here