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Lead Data Scientist

This is an exciting opportunity to join a growing data-driven technology business shaping the future of digital advertising. With a strong foundation already in place, you will take ownership of advanced modelling initiatives and play a central role in scaling machine learning solutions into production.

The Role
You will act as the technical lead for data science, partnering closely with engineering to deliver production-ready models that drive measurable impact.

• Lead the development of optimisation and predictive models for digital advertising campaigns
• Design and refine bidding algorithms in auction-based environments
• Build prototypes in Python and support their transition into production systems using Kotlin within AWS
• Work with large-scale datasets from advertising platforms and external sources such as demographic and behavioural data
• Collaborate closely with data engineers to productionise machine learning solutions
• Act as the go-to expert for troubleshooting, improving, and scaling models
• Contribute to shaping the data science approach and best practices within the business

Your Skills and Experience

• Strong commercial experience in data science with a focus on predictive modelling and optimisation
• Proven ability to take models from concept through to production environments
• Advanced Python skills and experience with machine learning frameworks
• Understanding of working with large and complex datasets
• Experience or exposure to Kotlin, Java, or Scala, or a willingness to work with these technologies
• Familiarity with cloud environments and scalable data processing, such as PySpark
• Background in advertising technology, marketing analytics, or auction-based modelling is highly beneficial
• Interest in bridging data science with production and data engineering environments

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Product Data Analyst

£70,000 – £90,000

Holborn, London or Cossington, Leicestershire

This is a high-impact Product Data Analyst role where you will move beyond reporting and become a true strategic partner to product teams. You will shape decisions before they are made, drive experimentation, and help embed a data-led culture across a growing, product-led organisation. If you enjoy influencing product strategy and delivering measurable impact through data, this role offers a strong platform to do so.

THE COMPANY

They are a fast-growing, digitally focused organisation with a strong consumer offering and a large, engaged user base. Data sits at the core of how they improve products, enhance user experience, and drive commercial outcomes. They are investing heavily in building a modern data function and are focused on fostering a culture of experimentation, continuous learning, and cross-functional collaboration. You will be joining a business where data is valued and plays a key role in decision-making.

THE ROLE

As a Product Data Analyst you will be embedded within a product team, acting as a key partner to Product Managers, Engineers, and Designers.

Specifically, you can expect to be involved in the following:

• Partner with product teams to define metrics, track performance, and shape product decisions.
• Translate business questions into structured analytical frameworks and actionable insights.
• Design and run A/B tests and experiments from hypothesis through to recommendation.
• Establish and promote best practice in experimentation and test and learn methodologies.
• Define and maintain key product metrics, including north star and supporting KPIs.
• Build dashboards and self-serve analytics tools to empower stakeholders.
• Communicate complex insights clearly to both technical and non-technical audiences.
• Contribute to a strong data culture through documentation, collaboration, and knowledge sharing.

SKILLS AND EXPERIENCE

The successful Product Data Analyst will have the following skills and experience:

• Strong commercial experience in product analytics within a digital or product-led environment.
• Advanced SQL skills with the ability to work with large, complex datasets.
• Hands-on experience designing and analysing experiments with a solid understanding of statistics.
• Experience influencing product decisions through clear, insight-led recommendations.
• Proficiency with BI tools such as Looker, Tableau, Lightdash or similar.
• Strong understanding of product analytics concepts including funnels, retention, cohorts, and user journeys.
• Ability to work in ambiguous environments and manage multiple priorities effectively.
• Curiosity to understand user behaviour and a proactive, problem-solving mindset.

BENEFITS

The successful Product Data Analyst will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Competitive benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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About the Role

This is a high-visibility, high-impact individual contributor role sitting at the intersection of machine learning, clinical data science, and translational biology. You will lead the company’s drug response prediction work – one of the most consequential and technically demanding initiatives in our portfolio.

This is not a pure research role, and it is not a pure engineering role. It requires someone who can move fluidly between rigorous quantitative analysis and the realities of working with large, messy, real-world datasets – someone who can apply state-of-the-art methods without losing sight of what actually works in practice.

The Problem We’re Solving

There are thousands of drugs that work – but only for a small subset of patients, and we largely don’t know why. We are building a systematic engine of understanding between drugs and biology: one that can decode the relationship between a patient’s biology and their response to treatment, and translate that into insights that immediately improve care.

This is foundational, mission-critical work. The person in this role will directly shape how we approach this problem – the methods we use, the data we bring to bear, and the analytical frameworks we build. It is an opportunity to have genuine scientific and clinical impact.

What You Will Do

Drug Response Prediction

• Lead the design and execution of computational approaches to predict drug response across patient populations
• Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
• Identify biological and clinical signals that differentiate responders from non-responders
• Translate modeling outputs into actionable biological and clinical insights

Data & Analysis

• Work extensively with real-world data (RWD) – EHR, claims, clinical trial data – at scale
• Build robust analytical pipelines that handle messy, heterogeneous, and incomplete data
• Apply appropriate statistical frameworks to ensure rigor and reproducibility
• Contribute to the development and evolution of internal data infrastructure and analysis tooling

Modeling & Methods

• Apply and adapt state-of-the-art ML methods – including causal inference, survival analysis, and multi-omics integration – to biological and clinical problems
• Balance methodological sophistication with practical performance constraints
• Evaluate trade-offs between model complexity, interpretability, and real-world utility
• Stay current with the literature and bring relevant advances into the team’s practice

Cross-Functional Collaboration

• Work closely with biologists, clinical scientists, and data engineers to design studies and interpret results
• Communicate findings clearly across both technical and non-technical audiences
• Contribute to a collaborative, intellectually rigorous team culture

What We’re Looking For

Required

• PhD in a quantitative discipline – computational biology, biostatistics, bioinformatics, computer science, physics, statistics, or a related field; open to diverse backgrounds
• Fluent in Python – comfortable writing clean, well-structured code for data analysis and modeling
• Real-world data experience – hands-on work with EHR, claims, or other large-scale clinical datasets
• Ability to work with messy data at scale – experience wrangling, cleaning, and extracting signal from imperfect data
• Strong quantitative intuition – both in modeling design and in interpreting results critically
• Industry experience – 4+ years; 6+ preferred, ideally with both large pharma/biotech and startup exposure
• Mission-driven – genuinely motivated by the opportunity to improve patient outcomes through better science

Strongly Preferred

• Experience with causal inference methods (propensity scoring, instrumental variables, difference-in-differences, etc.)
• Background in statistics, epidemiology, or biostatistics alongside ML
• Familiarity with pharmacogenomics, multi-omics, or translational biology
• Experience contributing to or extending data infrastructure and analysis frameworks
• Track record of working across interdisciplinary teams (biology, chemistry, clinical)
• Startup experience – comfort with ambiguity, ownership, and moving quickly

Background & Experience Profile

We are open to a wide range of PhD backgrounds – what matters most is strong quantitative and analytical foundations, genuine intellectual curiosity, and the ability to work rigorously with complex biological and clinical data. Prior biology experience is not required, but candidates with some exposure to biological or clinical domains will be viewed favorably.

The ideal candidate has spent time in both large pharma/biotech (where they developed rigor and depth) and a startup environment (where they developed speed and ownership). If you haven’t done both, a trajectory that moves toward increasing independence and scope is what we’re looking for.

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Title: Research Manager

Location: USA Remote

Compensation: Up to $470k + Equity

Essential: A demonstrated research track record with an h-index of 20+

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media, interactive experiences, and world models. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a high-impact, cross-functional role focused on managing and growing an Applied ML Research team building cutting-edge tools for AI-based media and world models, with a strong research foundation in computer vision and direct exposure to multimodal work, VLMs/MLLMs, and Physical AI as part of their core research team.

What You’ll Do

• Manage and grow a team of senior researchers (likely 5-10), mentoring them and supporting their career growth while staying hands-on with research
• Oversee the transition from research into production, working closely with engineering to ship state-of-the-art ML work
• Partner with Product to initiate and develop research projects that translate into clear user value
• Communicate goals, drive execution, and inspire through others across a cross-functional org
• Translate product and business objectives into technical research strategies

Requirements

• 5+ years of industry experience as a research scientist in computer vision, with 1+ years managing teams
• Comfortable managing senior researchers while remaining hands-on in a hybrid research engineering capacity
• High emotional intelligence, with a track record of mentoring and developing other researchers
• Deep interest in productionizing state-of-the-art ML research, having shipped research into product previously
• Strong communication and collaboration skills across research, engineering, and product

If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

To Apply for this Job Click Here

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Head of Platform & Engineering

London (Hybrid, near Tower Hill)

The Company
They are a global research and insights consultancy that partners with leading brands to inform strategic decision making. By combining advanced analytics, technology, and deep market understanding, they help organisations better understand customers and expand into new markets. Their work involves processing billions of data points per project, with a growing focus on synthetic data and AI-led innovation.
You will join a specialist synthetic data team that operates at the intersection of research, machine learning, and platform engineering, building tools that are shaping the future of data-driven insights.

The Role

• Own and define the platform strategy for a large-scale synthetic data and generative AI ecosystem
• Lead and develop a cross-functional engineering team, setting technical standards and best practices
• Build a scalable, secure, and high-performing platform used across global teams
• Bridge the gap between research, machine learning, and engineering to productionise advanced AI models
• Drive adoption of MLOps best practices including CI/CD, model lifecycle management, and reproducibility
• Ensure enterprise-grade governance, security, and privacy standards are embedded in the platform

Your Skills & Experience

• Strong technical leadership experience across software engineering, data engineering, or machine learning engineering
• Proven experience building and scaling complex data or ML platforms within a product-led environment
• Deep understanding of distributed systems, platform architecture, and high-throughput data processing
• Strong experience with Python and modern data and ML ecosystems
• Hands-on experience with GCP, Kubernetes, and infrastructure as code such as Terraform
• Experience implementing MLOps frameworks and managing model pipelines in production

What They Offer

• Hybrid working with a central London office (near Tower Hill)
• Opportunity to lead a high-impact AI platform from strategy through to delivery
• A collaborative, cross-disciplinary team environment
• Strong scope for leadership growth and influence across the business

How to Apply
If you are interested in this Head of Platform & Engineering role, please apply with your CV for consideration.

To Apply for this Job Click Here

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AI Automation Lead

London (3 Days a week)

The Company
They are a well-established investment-focused organisation with a strong track record of managing sophisticated portfolios. The business fosters a collaborative and forward-thinking culture, where technology and data are central to operational excellence. With a focus on innovation and continuous improvement, they are investing heavily in modern data and AI capabilities to drive impact across core functions. The environment encourages ownership, creativity, and cross-functional collaboration.
The Role

• Design and deliver a fully automated, end-to-end reporting platform
• Build intelligent workflows to automate data ingestion, validation, and reconciliation processes
• Develop scalable systems that replace manual operational tasks with robust, observable solutions
• Implement exception handling and human-in-the-loop mechanisms where needed
• Ensure systems are accurate, auditable, and resilient in a production environment
• Collaborate closely with cross-functional stakeholders to translate operational requirements into technical solutions

Your Skills and Experience

• Strong commercial experience in applied AI or automation engineering within operational environments
• Strong programming skills in Python and SQL
• Experience building data pipelines and integrating systems via APIs and structured data feeds
• Proven ability to build reliable, production-grade systems with monitoring and testing in place
• Experience with version control and CI/CD practices
• Strong system design capability with an end-to-end mindset

What They Offer

• Competitive salary and comprehensive benefits package
• Opportunity to build a high-impact AI platform from inception
• A collaborative and inclusive working culture
• Strong exposure to modern AI, data engineering, and automation technologies
• Clear scope for professional growth and ownership of key systems

How to Apply
If you are interested in applying for this Applied AI Engineer role, please submit your CV for consideration.

To Apply for this Job Click Here

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ANALYTICS ENGINEER (12-MONTH FTC)
REMOTE (UK BASED)
UP TO £90,000

This is a unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation at a pivotal stage of its data journey. You will take ownership of critical data modelling work within a modern cloud environment, helping to stabilise and scale key data pipelines while contributing to meaningful, real-world outcomes.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Own and deliver in-flight data modelling projects, ensuring continuity and completion
• Design and maintain dbt models including fact tables, dimensions, and metric layers
• Support and optimisie critical data pipelines, particularly around billing and reporting workflows
• Collaborate closely with data engineers to manage data flows across the lakehouse architecture
• Review and improve SQL and dbt work produced by analysts
• Build new scalable data models and contributing to long-term platform development
• Work autonomously within a fast-moving, evolving data environment

Your Skills & Experience

• Strong hands-on experience with dbt and modern data modelling practices
• Advanced SQL capability with the ability to design efficient, scalable queries
• Experience working with Python within a cloud-based data platform
• Strong understanding of dimensional modelling and star schema design
• Exposure to modern lakehouse environments such as Databricks is beneficial
• Ability to work effectively in ambiguity and contribute in less structured environments
• Comfortable working autonomously within a small, high-impact team
• Experience in regulated environments or data governance-heavy organisations is advantageous

APPLY BELOW

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