Machine Learning Engineer – Remote
New York / $150 - $165 hour
INFO
$150 - $165
LOCATION
New York
Contract
The Company
Our client is an innovative gaming company focused on creating high‑quality, immersive experiences powered by advanced technology. They combine strong engineering with creative design to develop games enjoyed by players worldwide, and are expanding their AI capabilities to push the boundaries of gameplay and simulation.Role Overview
We are looking for an engineer who can take ownership of the full lifecycle of Reinforcement Learning (RL) systems-from model design and experimentation through large‑scale training and deployment. This position suits someone who enjoys working at the intersection of research, software engineering, and cloud computing, and who thrives in environments with complex data and evolving requirements.
What You'll Do
- Develop RL solutions end‑to‑end, covering data pipelines, model design, training, and production deployment.
- Run RL and ML experiments using Python‑based machine learning frameworks.
- Implement, customize, and tune RL algorithms such as PPO, SAC, and DQN.
- Architect RL systems using modern cloud tools and distributed infrastructure.
- Improve RL training pipelines to maximize performance, scalability, and reliability.
Requirements (Must‑Have)
- Several years of experience delivering RL systems that have been used in real‑world or production environments.
- Deep understanding of core RL algorithm families and training workflows.
- Strong hands‑on experience with Python and frameworks like PyTorch or TensorFlow.
- Experience working with real RL datasets, including data formats, schemas, and collection processes.
- Proven ability to write production‑quality machine learning code.
Bonus Skills (Nice to Have)
- Experience with distributed RL frameworks (e.g., Ray RLlib).
- Familiarity with cloud platforms, with preference for experience on Google Cloud.
- Background in RL applied to computer vision.
- Exposure to backend engineering, DevOps, or MLOps infrastructure.
CONTACT
SIMILAR
JOB RESULTS
Machine Learning Engineer – Remote
New York
$150 - $165
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
The Company
Our client is an innovative gaming company focused on creating high‑quality, immersive experiences powered by advanced technology. They combine strong engineering with creative design to develop games enjoyed by players worldwide, and are expanding their AI capabilities to push the boundaries of gameplay and simulation.
Role Overview
We are looking for an engineer who can take ownership of the full lifecycle of Reinforcement Learning (RL) systems-from model design and experimentation through large‑scale training and deployment. This position suits someone who enjoys working at the intersection of research, software engineering, and cloud computing, and who thrives in environments with complex data and evolving requirements.
What You’ll Do
- Develop RL solutions end‑to‑end, covering data pipelines, model design, training, and production deployment.
- Run RL and ML experiments using Python‑based machine learning frameworks.
- Implement, customize, and tune RL algorithms such as PPO, SAC, and DQN.
- Architect RL systems using modern cloud tools and distributed infrastructure.
- Improve RL training pipelines to maximize performance, scalability, and reliability.
Requirements (Must‑Have)
- Several years of experience delivering RL systems that have been used in real‑world or production environments.
- Deep understanding of core RL algorithm families and training workflows.
- Strong hands‑on experience with Python and frameworks like PyTorch or TensorFlow.
- Experience working with real RL datasets, including data formats, schemas, and collection processes.
- Proven ability to write production‑quality machine learning code.
Bonus Skills (Nice to Have)
- Experience with distributed RL frameworks (e.g., Ray RLlib).
- Familiarity with cloud platforms, with preference for experience on Google Cloud.
- Background in RL applied to computer vision.
- Exposure to backend engineering, DevOps, or MLOps infrastructure.
To Apply for this Job Click Here
Senior Data Platform Engineer
Newcastle upon Tyne
£90000 - £105000
+ Data Engineering
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
Senior Data Platform Engineer
£90,000-£105,000
Remote (Quarterly meets in London)
This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting‑edge analytics and AI platform. You will join a small, authentic, highly collaborative engineering team where your ideas have real impact and where ownership is encouraged from day one.
THE COMPANY
This organisation operates in the digital analytics and advertising technology space, helping clients understand online behaviours and turn data into actionable insight. They build and maintain a modern data platform and the applications that sit on top of it, used by clients to explore trends and drive smarter advertising decisions.
THE ROLE
As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large‑scale ingestion, transformation and machine learning workloads.
Specifically, you can expect to be involved in the following:
- Designing and optimising of distributed systems for high‑throughput data processing
- Build services and tools in Python or Go, with the opportunity to cross‑train in the other.
- Work across data pipelines, data warehouses and processing frameworks to support analytics and AI products, contributing to new applications and evolving existing client‑facing tools.
- Collaborate with data science and engineering teams to enable new features and products.
- Take ownership of technical decisions in a startup environment with significant autonomy.
SKILLS AND EXPERIENCE
The successful Senior Data Platform Engineer will have the following skills and experience:
- Strong commercial experience in Python or Go, and willingness to learn the other.
- Expertise in distributed systems or large‑scale data processing.
- Strong knowledge of SQL and data warehouse technologies.
- Experience working with cloud environments such as AWS or GCP.
- Exposure to Kubernetes, BigQuery or GPU‑based processing is beneficial.
- Experience in digital analytics or AdTech is a bonus but not required.
BENEFITS
The successful Senior Data Platform Engineer will receive the following:
- Salary between £90,000 – £105,000 – depending on experience, plus competitive benefits.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Platform Engineer
Sheffield
£90000 - £105000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
Senior Data Platform Engineer
£90,000-£105,000
Remote (Quarterly meets in London)
This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting‑edge analytics and AI platform. You will join a small, authentic, highly collaborative engineering team where your ideas have real impact and where ownership is encouraged from day one.
THE COMPANY
This organisation operates in the digital analytics and advertising technology space, helping clients understand online behaviours and turn data into actionable insight. They build and maintain a modern data platform and the applications that sit on top of it, used by clients to explore trends and drive smarter advertising decisions.
THE ROLE
As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large‑scale ingestion, transformation and machine learning workloads.
Specifically, you can expect to be involved in the following:
- Designing and optimising of distributed systems for high‑throughput data processing
- Build services and tools in Python or Go, with the opportunity to cross‑train in the other.
- Work across data pipelines, data warehouses and processing frameworks to support analytics and AI products, contributing to new applications and evolving existing client‑facing tools.
- Collaborate with data science and engineering teams to enable new features and products.
- Take ownership of technical decisions in a startup environment with significant autonomy.
SKILLS AND EXPERIENCE
The successful Senior Data Platform Engineer will have the following skills and experience:
- Strong commercial experience in Python or Go, and willingness to learn the other.
- Expertise in distributed systems or large‑scale data processing.
- Strong knowledge of SQL and data warehouse technologies.
- Experience working with cloud environments such as AWS or GCP.
- Exposure to Kubernetes, BigQuery or GPU‑based processing is beneficial.
- Experience in digital analytics or AdTech is a bonus but not required.
BENEFITS
The successful Senior Data Platform Engineer will receive the following:
- Salary between £90,000 – £105,000 – depending on experience, plus competitive benefits.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Platform Engineer
Liverpool
£90000 - £105000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Senior Data Platform Engineer
£90,000-£105,000
Remote (Quarterly meets in London)
This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting‑edge analytics and AI platform. You will join a small, authentic, highly collaborative engineering team where your ideas have real impact and where ownership is encouraged from day one.
THE COMPANY
This organisation operates in the digital analytics and advertising technology space, helping clients understand online behaviours and turn data into actionable insight. They build and maintain a modern data platform and the applications that sit on top of it, used by clients to explore trends and drive smarter advertising decisions.
THE ROLE
As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large‑scale ingestion, transformation and machine learning workloads.
Specifically, you can expect to be involved in the following:
- Designing and optimising of distributed systems for high‑throughput data processing
- Build services and tools in Python or Go, with the opportunity to cross‑train in the other.
- Work across data pipelines, data warehouses and processing frameworks to support analytics and AI products, contributing to new applications and evolving existing client‑facing tools.
- Collaborate with data science and engineering teams to enable new features and products.
- Take ownership of technical decisions in a startup environment with significant autonomy.
SKILLS AND EXPERIENCE
The successful Senior Data Platform Engineer will have the following skills and experience:
- Strong commercial experience in Python or Go, and willingness to learn the other.
- Expertise in distributed systems or large‑scale data processing.
- Strong knowledge of SQL and data warehouse technologies.
- Experience working with cloud environments such as AWS or GCP.
- Exposure to Kubernetes, BigQuery or GPU‑based processing is beneficial.
- Experience in digital analytics or AdTech is a bonus but not required.
BENEFITS
The successful Senior Data Platform Engineer will receive the following:
- Salary between £90,000 – £105,000 – depending on experience, plus competitive benefits.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Machine Learning Engineer (Reinforcement Learning)
Manhattan
$65 - $75
+ Data Science & AI
ContractManhattan, New York
To Apply for this Job Click Here
The Role:
You will design, train, optimize, and productionize Reinforcement Learning models at scale. This role is ideal for someone who is comfortable operating across research, engineering, and cloud systems while owning end‑to‑end RL development. You will work with complex datasets, ambiguous requirements, and modern distributed systems.
Key Responsibilities:
- Build RL solutions from data collection to deployment.
- Run ML and RL experiments using Python ML libraries.
- Implement and tune RL algorithms such as PPO, SAC, or DQN.
- Design RL architectures using cloud tooling.
- Optimize RL pipelines for speed, scale, and reliability.
Requirements (Must Have):
- Multiple years experience delivering production or real‑world RL solutions.
- Strong knowledge of RL algorithm families and training procedures.
- Hands‑on experience with Python, PyTorch or TensorFlow.
- Experience working with real RL datasets and associated data schemas.
- Experience shipping production‑ready ML code.
Nice to Have:
- Distributed RL (Ray RLLib).
- Cloud platforms (GCP preferred).
- CV‑based RL experience.
- Backend engineering or MLOps exposure.
To Apply for this Job Click Here
Senior Data Platform Engineer
Manchester
£90000 - £105000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Platform Engineer
£90,000-£105,000
Remote (Quarterly meets in London)
This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting‑edge analytics and AI platform. You will join a small, authentic, highly collaborative engineering team where your ideas have real impact and where ownership is encouraged from day one.
THE COMPANY
This organisation operates in the digital analytics and advertising technology space, helping clients understand online behaviours and turn data into actionable insight. They build and maintain a modern data platform and the applications that sit on top of it, used by clients to explore trends and drive smarter advertising decisions.
THE ROLE
As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large‑scale ingestion, transformation and machine learning workloads.
Specifically, you can expect to be involved in the following:
- Designing and optimising of distributed systems for high‑throughput data processing
- Build services and tools in Python or Go, with the opportunity to cross‑train in the other.
- Work across data pipelines, data warehouses and processing frameworks to support analytics and AI products, contributing to new applications and evolving existing client‑facing tools.
- Collaborate with data science and engineering teams to enable new features and products.
- Take ownership of technical decisions in a startup environment with significant autonomy.
SKILLS AND EXPERIENCE
The successful Senior Data Platform Engineer will have the following skills and experience:
- Strong commercial experience in Python or Go, and willingness to learn the other.
- Expertise in distributed systems or large‑scale data processing.
- Strong knowledge of SQL and data warehouse technologies.
- Experience working with cloud environments such as AWS or GCP.
- Exposure to Kubernetes, BigQuery or GPU‑based processing is beneficial.
- Experience in digital analytics or AdTech is a bonus but not required.
BENEFITS
The successful Senior Data Platform Engineer will receive the following:
- Salary between £90,000 – £105,000 – depending on experience, plus competitive benefits.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Platform Engineer
Leeds
£90000 - £105000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Data Platform Engineer
£90,000-£105,000
Remote (Quarterly meets in London)
This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting‑edge analytics and AI platform. You will join a small, authentic, highly collaborative engineering team where your ideas have real impact and where ownership is encouraged from day one.
THE COMPANY
This organisation operates in the digital analytics and advertising technology space, helping clients understand online behaviours and turn data into actionable insight. They build and maintain a modern data platform and the applications that sit on top of it, used by clients to explore trends and drive smarter advertising decisions.
THE ROLE
As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large‑scale ingestion, transformation and machine learning workloads.
Specifically, you can expect to be involved in the following:
- Designing and optimising of distributed systems for high‑throughput data processing
- Build services and tools in Python or Go, with the opportunity to cross‑train in the other.
- Work across data pipelines, data warehouses and processing frameworks to support analytics and AI products, contributing to new applications and evolving existing client‑facing tools.
- Collaborate with data science and engineering teams to enable new features and products.
- Take ownership of technical decisions in a startup environment with significant autonomy.
SKILLS AND EXPERIENCE
The successful Senior Data Platform Engineer will have the following skills and experience:
- Strong commercial experience in Python or Go, and willingness to learn the other.
- Expertise in distributed systems or large‑scale data processing.
- Strong knowledge of SQL and data warehouse technologies.
- Experience working with cloud environments such as AWS or GCP.
- Exposure to Kubernetes, BigQuery or GPU‑based processing is beneficial.
- Experience in digital analytics or AdTech is a bonus but not required.
BENEFITS
The successful Senior Data Platform Engineer will receive the following:
- Salary between £90,000 – £105,000 – depending on experience, plus competitive benefits.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Platform Engineer
Birmingham
£90000 - £105000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Data Platform Engineer
£90,000-£105,000
Remote (Quarterly meets in London)
This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting‑edge analytics and AI platform. You will join a small, authentic, highly collaborative engineering team where your ideas have real impact and where ownership is encouraged from day one.
THE COMPANY
This organisation operates in the digital analytics and advertising technology space, helping clients understand online behaviours and turn data into actionable insight. They build and maintain a modern data platform and the applications that sit on top of it, used by clients to explore trends and drive smarter advertising decisions.
THE ROLE
As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large‑scale ingestion, transformation and machine learning workloads.
Specifically, you can expect to be involved in the following:
- Designing and optimising of distributed systems for high‑throughput data processing
- Build services and tools in Python or Go, with the opportunity to cross‑train in the other.
- Work across data pipelines, data warehouses and processing frameworks to support analytics and AI products, contributing to new applications and evolving existing client‑facing tools.
- Collaborate with data science and engineering teams to enable new features and products.
- Take ownership of technical decisions in a startup environment with significant autonomy.
SKILLS AND EXPERIENCE
The successful Senior Data Platform Engineer will have the following skills and experience:
- Strong commercial experience in Python or Go, and willingness to learn the other.
- Expertise in distributed systems or large‑scale data processing.
- Strong knowledge of SQL and data warehouse technologies.
- Experience working with cloud environments such as AWS or GCP.
- Exposure to Kubernetes, BigQuery or GPU‑based processing is beneficial.
- Experience in digital analytics or AdTech is a bonus but not required.
BENEFITS
The successful Senior Data Platform Engineer will receive the following:
- Salary between £90,000 – £105,000 – depending on experience, plus competitive benefits.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead Analytics Engineer (Contract)
London
£500 - £550
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Harnham is partnering with a growing team focused on stabilising and maturing their Snowflake data platform. They are seeking a skilled Analytics Engineer to join a hands-on, delivery-focused team responsible for building and maintaining centralised data warehouse assets used across the business.
The Team
The team is part of a broader Analytics Engineering function, aligned to business pillars but operating centrally to provide high-quality, reusable data assets. You’ll work closely with other Analytics Engineers and domain teams to ensure data models are performant, scalable, and widely adopted.
What You’ll Be Doing
-
Hands-on development using SQL, DBT, and Snowflake
-
Implementing, refactoring, and optimising Snowflake data models
-
Creating and maintaining data assets, ensuring performance, quality, and reliability
-
Updating consumers and reviewing code to maintain standards
-
Working within structured project tracking tools (Asana / Jira)
-
Delivering approximately 50 refactorings/migrations and creating at least 5 new assets during the contract
Who We’re Looking For
-
Strong experience in SQL, DBT, and Snowflake
-
Familiarity with dimensional modelling (Kimball methodology preferred)
-
Understanding of building models for large stakeholder groups
-
Experience with performance optimisation, data quality, and query/resource efficiency
-
Comfortable working in a collaborative, fast-moving environment with a growth mindset
-
Experience with startups or SaaS companies is a plus
Why This Role
-
Work on a centralised data platform with high visibility and impact
-
Remote, contractor-friendly environment outside IR35
-
Opportunity to work on large-scale data models, refactorings, and new asset creation
-
Collaborate with a supportive and experienced Analytics Engineering team
Interview Process
-
Case study (essential – candidates complete a provided template)
-
Technical / market conversation focusing on:
-
Dimensional modelling experience
-
Snowflake model design for multiple stakeholders
-
Performance optimisation and data quality
-
Refactoring and migrations
-
Availability: Interviews scheduled across Thursday 26th
To Apply for this Job Click Here
Digital Analytics Consultant
City of London
£55000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
Digital Analytics Consultant (Adobe Analytics)
Remote UK
Salary: up to £80000
This is an exciting opportunity to step into a role that blends Adobe Analytics expertise with genuine client leadership. You will shape delivery, guide clients through complex change and play a key part in how data, measurement and experience programmes evolve.
The Company
They are a specialist data and digital consultancy known for solving complex analytics and activation challenges. Their work spans analytics, optimisation, personalisation and wider data strategy, with a strong reputation for delivering practical solutions that join the dots across technology and teams. They operate with a low‑ego, collaborative culture where pragmatic thinking matters more than pitch decks. Clients turn to them when they need a partner who can bring clarity to evolving data ecosystems.
The Role
You will
* Act as the Adobe Analytics specialist for assigned clients.
* Lead and support end‑to‑end Adobe Analytics implementation and optimisation.
* Translate business requirements into clear technical delivery plans.
* Coordinate multidisciplinary workstreams across analytics, tagging, CRO and insight.
* Own client relationships, roadmaps, reporting and issue resolution.
* Present findings, recommendations and data stories with clarity and confidence.
* Identify risks early, propose solutions and steer delivery in the right direction.
* Support internal improvement initiatives around process, tooling and standards.
* Stay hands‑on when needed while knowing when to bring in specialist support.
Your Skills and Experience
You will bring
* Strong commercial experience with Adobe Analytics, including implementation and admin.
* Confident use of Adobe Workspace, including metrics, segments and containers.
* Experience working across tagging, analytics, reporting or CRO environments.
* The ability to translate complex business problems into technical actions.
* Strong client‑facing communication, organisation and delivery skills.
* A structured, pragmatic approach to problem‑solving.
Nice to have
* Customer Journey Analytics exposure.
* Broader analytics experience (GA4, GTM, Adobe stack).
* CRO programme planning or CDP awareness.
How to Apply
If this role sounds like the right next step, please apply with your CV to be considered.
To Apply for this Job Click Here
Senior Data Platform Engineer
Newcastle upon Tyne
£90000 - £105000
+ Data Engineering
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
Senior Data Platform Engineer
Remote, United Kingdom
£90,000 to £105,000 base salary
This is an opportunity to join a small, fast‑growing team building large‑scale data and AI platforms used to drive advanced analytics and high‑volume data processing. You will work at the heart of their next‑generation data architecture, designing distributed systems that support cutting‑edge machine learning workloads at scale.
The Company
They are a specialist AdTech organisation using advanced data processing and AI to understand consumer behaviour at massive scale. Their platform ingests billions of daily events and supports a suite of data‑driven products used by clients for insight, analytics and digital activation. With around ten people in the business and a growing engineering function, they offer a collaborative, authentically driven environment with no bureaucracy and significant ownership from day one.
The Role
In this Senior Data Platform Engineer position, you will:
* Build and scale distributed data pipelines capable of handling large, high‑throughput workloads.
* Develop core backend services in either Python or Go and learn the other as needed.
* Work across big data processing, data warehousing and high‑volume SQL‑based modelling.
* Contribute to the architecture underpinning ML and GPU‑backed inference workloads.
* Develop resilient, cost‑efficient systems that scale as data volumes grow.
* Improve the existing platform and help build new tools, pipelines and client‑facing features.
* Own platform reliability, performance and data integrity across the ecosystem.
Your Skills and Experience
You will need:
* Strong commercial experience in Python or Go, with the ability to work across both.
* Proven capability in distributed systems, large‑scale data processing, and high‑volume data environments.
* Deep experience with SQL and modern cloud data warehousing.
* Experience with big data tooling and best practices.
* The ability to design systems for scale, reliability and cost‑efficiency.
Nice to have skills include AWS, Kubernetes, GCP BigQuery, GPU or Ray experience, and exposure to AdTech or privacy‑first data environments.
How to Apply
If this sounds like the right next step for you, apply today to be considered for this Senior Data Platform Engineer role.
To Apply for this Job Click Here
Analytics Manager
London
£75000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analytics Manager
London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary
An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.
You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.
Key Responsibilities
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Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output
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Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value
-
Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions
-
Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction
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Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines
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Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases
What We’re Looking For
-
5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors
-
Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)
-
Strong technical toolkit: SQL, Python, and Excel proficiency
-
Skilled communicator – confident presenting to both technical and non-technical audiences
-
Experience working with or alongside banks, lenders, or credit decisioning teams
-
Highly numerate, creative problem solver with strong business acumen
Nice to Have
-
Exposure to property, housing, or mortgage markets
-
Experience in a fast-paced, collaborative environment
-
Interest in combining product thinking with data analytics
-
Ability to manage multiple projects and stakeholders
-
Strong presentation skills and a curious, solutions-driven mindset
Why Apply?
-
Strategic, visible role with direct impact on how financial clients use data
-
Competitive salary up to £90,000
-
Hybrid working – 2 days/week in the London office (Tuesdays required)
-
Work within a high-calibre analytics team under supportive leadership
-
Be part of a mission to simplify and modernise property data in financial decisioning
Interview Process
-
Initial interview (30-45 mins) – with Analytics Leadership
-
Task stage – demonstrate analytical thinking and communication
-
Final round – culture fit and stakeholder interaction
One stage may take place in person at the London office (London Bridge), where possible
Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.
To Apply for this Job Click Here
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