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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

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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.

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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.

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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.

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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

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Lead Data Scientist
Location: Central London (1 day per week in office)
Salary: Up to £85,000 + Benefits (with potential for small flexibility)

Company: Leading Performance Marketing Agency

We are seeking a skilled Data Scientist to join a fast-growing performance marketing agency, specialising in data engineering, analytics, and innovative technology solutions. This role offers the opportunity to work with some of the biggest names in the industry, while leveraging advanced data science methodologies to drive scalable, sustainable growth.

Key Responsibilities:

• Develop and implement advanced analytics models, including LTV, Propensity, and Forecasting/Pricing models.

• Work with Cloud environments (GCP/AWS) to deploy models for Google and Meta Ads.

• Lead or assist in experimentation methodologies such as incrementality, attribution, MMM, and brand lift studies.

• Consult with high-profile clients to provide data-driven insights and measurement strategies.

• Collaborate with other data scientists and analytics teams to refine methodologies and deliver results.

Ideal Candidate:

• Proficiency in Python and SQL (essential).

• Experience with Cloud platforms (GCP/AWS) is highly desirable.

• Familiarity with key methodologies such as Experimentation, Attribution, MMM, Propensity, and LTV modelling.

• Experience in the performance marketing space is strongly preferred.

• Management experience is a plus, but open to candidates with a passion for mentoring.

• Agency experience is a strong advantage.

Interview Process:

• 1st Stage: Introductory interview with Antonio (30-45 mins).

• 2nd Stage: Technical assessment covering SQL, Python, and Marketing Analytics.

• 3rd Stage: Panel interview with Data Scientists and Heads of Innovation and Product.

• 4th Stage: Final sign-off chat with the CTO and MD.

If you’re looking to join a high-growth, award-winning agency and make a significant impact with your data science expertise, apply now!

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Senior Strategy & Analysis Manager
London – 3 days in the office

Salary up to £70,000

Ready to shape the future of rail travel through insight, planning, and strategic leadership?

We’re looking for a commercially minded Senior Strategy & Analysis Manager to lead a high-performing team of analysts at the heart of our Commercial function. Reporting to the Head of Commercial Strategy Analysis, you’ll drive business-critical decisions through demand forecasting, revenue modelling, and data-driven insights – all while supporting a collaborative and forward-thinking culture.

What you’ll be doing:

• Lead a team of analysts to forecast revenue, evaluate commercial performance, and develop long-term strategic plans

• Drive insight into customer behaviour, pricing, and commercial effectiveness

• Own the commercial business planning cycle and submit key performance reports to the DfT

• Partner with stakeholders across Marketing, Sales, Finance, and Compliance to align strategy and performance

• Define the Commercial Department’s data and analytics approach to boost revenue and customer satisfaction

• Deputise for the Head of Commercial Strategy Analysis as required

What we’re looking for:

• Strong commercial experience within the rail industry

• Proven expertise in revenue management, forecasting models, and business planning

• Confidence presenting insights and influencing decisions at senior levels

• Experience managing and developing high-performing teams

• Excellent communication, stakeholder engagement, and leadership skills

• Tools such as Tableau, Power BI, or SQL are a plus, as is familiarity with the PDFH

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LEAD DATA SCIENTIST

£75,000 – £85,000

LONDON – 1 DAY A WEEK

*Please note, this company is unable to sponsor, and you must be a UK resident to apply*

THE COMPANY

Join a fast-growing London-based agency that specialises in performance marketing and cutting-edge technology. The agency delivers services across paid search and social, data engineering, analytics, and marketing automation. The agency partners with major brands across retail, travel, tech, and entertainment, and runs an inclusive Early Careers Scheme to support entry into marketing and tech. Their mission: to fuel scalable, sustainable growth through data-driven marketing and innovative tech solutions.

THE ROLE

This performance marketing agency focuses on digital analytics and measurement, delivering long-term, data-driven projects across platforms like Google and Meta. Data Scientists play a key role in experimentation and measurement (including incrementality, attribution, and MMM), as well as advanced analytics such as lifetime value and propensity modelling. Projects involve cloud-based environments, with models deployed directly into advertising platforms. The work goes beyond typical agency tasks, including strategic consulting for major clients and direct access to robust first-party data – a rare advantage in the agency space.

SKILLS + EXPERIENCE

• Python + SQL and ideally GCP/AWS
• Key methodologies are Experimentation (incrementality, brand lift studies, geo lift testing, causal inference), MMM, Propensity and LTV modelling
• Management experience desirable but open to mentoring

HOW TO APPLY

If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.

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Media Data Analyst
London (Hybrid – 2 days in office)
Up to £60,000 + benefits

A leading international media group is looking for a Data Analyst to join their growing data team within the Audio division – home to some of the UK’s most well-known radio and digital content brands.

This is an exciting opportunity to work on high-visibility projects that combine audience insights, advertising strategy, and competition performance to shape how millions interact with digital media content.

What You’ll Work On:

• Analyse audience behaviour across digital and audio platforms – who’s listening, how often, and through what channels

• Support commercial teams in optimising advertising inventory and pricing decisions

• Deep dive into competition data – helping identify trends, patterns, and smarter targeting strategies

• Build dashboards, generate reports, and present clear, actionable insights to stakeholders

• Collaborate with teams across product, marketing, legal, and planning to support data-informed decision making

What You’ll Bring:

• Experience with SQL and strong analytical tools (Excel, Python, or BI platforms)

• Knowledge of A/B testing and experimental design

• Strong problem-solving mindset with a commercial lens

• Ability to communicate findings in a clear, compelling way

• Friendly, curious, and easy to work with – someone who enjoys collaboration

• (Bonus) Background in product analytics, advertising, or competitions (e.g., gambling sector)

Join a team that operates like a boutique internal consultancy – using data to drive creativity and smarter business decisions across the UK and Europe.

Apply now to play a key role in shaping the future of audio and digital media insights.

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Senior Data Scientist
London (Hybrid – 2 days in office)
Up to £90,000 + benefits

A major international media group is looking for a Senior Data Scientist to join their growing data function within the Audio division – home to some of the UK’s most recognisable digital and broadcast brands.

You’ll be using your technical skills and business acumen to shape high-impact data projects around audience insights, advertising inventory, and competitions. This is a hands-on role, working closely with cross-functional teams across the UK and Europe to improve decision-making and unlock commercial value through data.

What You’ll Be Working On:

• Building predictive models to better understand audience behaviour, engagement, and revenue outcomes

• Analysing advertising inventory and pricing strategy to support a key revenue stream

• Driving insights from competitions data – understanding participation patterns, audience segmentation, and ROI

• Collaborating with engineers, analysts and product stakeholders to embed data into everyday decision-making

• Supporting the wider data function in operating as an internal “consultancy” within the business

Tech & Experience:

• Strong knowledge of SQL and Python

• Hands-on experience with A/B testing and statistical modelling

• Background in product analytics or commercial data projects

• Comfortable working with stakeholders across tech and non-tech functions

• Great communication skills – personable, curious, and clear in explaining complex ideas

• (Bonus) Experience in media, gambling, or advertising environments

This is a brilliant opportunity to join a high-visibility team in a creative, fast-paced industry – with the chance to work on diverse and meaningful projects that impact millions of users.

Apply now to be part of a team shaping the future of audio data in one of the UK’s most exciting media organisations.

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