Geospatial Insight & Analytics Manage
Leeds / £60000 - £65000 annum
INFO
£60000 - £65000
LOCATION
Leeds
Permanent
Geospatial Insight & Analytics Manager
Location: Leeds (Hybrid, 3 days per week in the office)
Salary: £65,000 + £5,700 car allowance + 13.5% bonus
The Company
A nationally recognised retail and logistics business is looking for a Geospatial Insight & Analytics Manager to join their data function. The team plays a crucial role in using location-based data to drive smarter, faster commercial and customer decisions, and this role will lead high-impact projects across location planning, network design, and targeted marketing.
The Role
This is a rare opportunity to shape the future of how geospatial analytics supports core strategic decisions in a business that owns and operates hundreds of sites across the UK. You will manage one analyst and work closely with senior stakeholders across marketing, operations, and commercial teams.
Key Responsibilities:
Spatial Insight & Strategic Decision Support
Translate business questions into geospatial data-driven insight
Use spatial modelling to solve problems around store planning, network optimisation, and targeted customer engagement
Identify whitespace opportunities based on demographics, mobility, and purchasing behaviour
Advanced Geospatial Analytics
Apply tools like Databricks, ArcGIS, SQL, and Python to build models, test hypotheses, and scale geospatial insight
Integrate datasets like HST (High Street Trading), customer segmentation, and footfall into spatial analysis workflows
Conduct segmentation and clustering work to highlight geographical patterns
Stakeholder Engagement & Storytelling
Build dashboards and data visualisations that clearly communicate insights
Collaborate with non-technical stakeholders to translate complex spatial data into business recommendations
Present analysis at senior levels and influence investment and location decisions
Leadership & Team Development
Line manage and support a Geospatial Analyst
Contribute to building a geospatial community of practice
Upskill and mentor other team members on geospatial thinking
Skills & Experience
Essential:
Solid background in geospatial analytics or customer insight with a spatial focus
Strong skills in SQL and/or Python
Hands-on with ArcGIS or similar GIS tools (e.g., QGIS, MapInfo, Alteryx)
Experience in building models for location planning, delivery optimisation, or customer segmentation
Confident communicator with the ability to translate data into strategic impact
Desirable:
Experience in retail, logistics, transportation, or infrastructure industries
Familiarity with working in Databricks or similar cloud environments
Understanding of demographic and economic datasets relevant to location modelling
Experience in line management or mentoring
Benefits:
£65,000 base salary
£5,700 car allowance
13.5% bonus
Hybrid working from Leeds (3 days per week onsite)
High exposure to senior stakeholders and strategy
Diverse data environment and strong investment in tooling
How to Apply
Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.
Keywords
Geospatial Analytics, Location Planning, Spatial Insight, GIS, ArcGIS, Databricks, Python, SQL, Retail Strategy, Network Optimisation, Data Science, Hybrid Working, Leeds
CONTACT
SIMILAR
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VP, Marketing Analytics
New York
$220000 - $240000
+ Advanced Analytics & Marketing Insights
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VP, Marketing Analytics
Remote (EST or CST)
Up to $240k
A primary financial services company focused on leveraging advanced technology, predictive analytics and data science to enhance customer experience and drive better financial outcomes.
The Role
The VP, Marketing Analytics will be a thought leader within the business, using their technical experience and strategic mindset to scale systems and teams across the marketing analytics function.
- Lead and mentor a small but growing team of analysts and a director; provide hands-on support while planning for future org design.
- Own the overhaul and modernization of the marketing analytics stack-including integrating data from disparate sources.
- Design and implement scalable measurement frameworks using MTA and MMM methodologies.
- Partner closely with leaders across digital marketing, brand and partnerships to develop and deploy testing strategies that inform budget and creative decisions.
- Work cross-functionally with the sales analytics team to ensure consistent KPIs and unified insights across the customer funnel.
- Drive adoption of advanced analytics and reporting-building foundational dashboards and SQL-based reporting that support real-time decision-making.
- Influence long-term data and tech strategy in collaboration with executive leadership.
Your Skills & Experience
The candidate that will be successful in this role is someone who comes from a high volume industry, with proven experience been a thought leader & strategic in their current role.
- Proven leadership experience in marketing analytics within a high lead volume industry.
- Deep technical expertise.
- Strong SQL proficiency.
- Experience with modern data stacks.
- Hands-on experience applying MMM and MTA frameworks but you won’t be building them in this role.
- Ability to think strategically while being comfortable getting into the weeds with the team.
- A proactive and assertive personality who can influence, challenge, and inspire at all levels of the organization.
- Strong communication and storytelling skills with senior stakeholders.
To Apply for this Job Click Here
Développeur.se fullstack
Bordeaux
€45000 - €60000
+ Data Engineering
PermanentBordeaux, Nouvelle-Aquitaine
To Apply for this Job Click Here
DÉVELOPPEUR.SE FULLSTACK
Salaire jusqu’à 60K€ fixes
2 jours de télétravail
Node.JS – React.JS – PostgreSQL
L’ENTREPRISE
Cette startup en forte croissance évolue dans le secteur du e-commerce. Après une brillante levée de fonds, elle souhaite agrandir son équipe tech et recrute un·e développeur·se fullstack pour accompagner sa croissance.
LE POSTE
Intégré·e à l’équipe tech, tu contribueras activement à la conception, au développement et à l’amélioration des produits B2C de l’entreprise. En fonction de ton profil, tu rejoindras l’une des squads (connectivité, prélèvement, flux financiers ou gestion des sinistres). Les missions au quotidien :
- Concevoir, développer et maintenir des applications robuste et performante grâce une forte expertise technique.
- Collaborer étroitement avec les différentes équipes pour créer des solutions techniques innovantes et résoudre les défis complexes.
- Optimiser les performances des applications et garantir leur extensibilité pour une expérience utilisateur exceptionnelle.
- Identifier et résoudre rapidement les problèmes techniques, en proposant des solutions efficaces et durables.
- Mentorat actif de l’équipe pour favoriser la croissance professionnelle et le partage des connaissances.
- Participer activement à l’élaboration de la roadmap technique en collaboration avec les leads, les seniors et le CTO.
LE PROFIL
- Diplôme d’ingénieur en informatique
- Minimum 2 ans d’expérience en développement web full stack, démontrant une expertise approfondie
- Maîtrise avancée de Node.JS
- Connaissance de React et/ou Nest pour des interfaces utilisateur modernes et évolutives
- Compétences solides en développement back-end pour assurer la robustesse et la fiabilité des systèmes
- Expérience de production à forte charge, fort traffic, maîtrise d’outils de supervision
- Expérience pratique avec les bases de données SQL pour une gestion efficace des données
- Capacité éprouvée à travailler de manière collaborative au sein d’équipes multidisciplinaires et à communiquer clairement
POSTULER
Merci de joindre ton CV à jour et nous reviendrons vers vous dès que possible.
To Apply for this Job Click Here
Senior Data Engineer
City of London
£450 - £550
+ Data Engineering
ContractCity of London, London
To Apply for this Job Click Here
DATA ENGINEER – DBT / AIRFLOW / DATABRICKS
4-MONTH CONTRACT
£450-550 PER DAY OUTSIDE IR35
This is an exciting opportunity for a Data Engineer to join a leading media organisation working at the forefront of data innovation. You’ll play a key role in designing and building the data infrastructure that supports cutting-edge machine learning and LLM initiatives. Expect to work closely with data scientists, helping to power intelligent content and audience tools across the business.
THE COMPANY
A major player in the media sector, this company is investing heavily in its data capabilities to support everything from real-time analytics to AI-powered content discovery. The environment is collaborative, fast-moving, and focused on innovation. With strong engineering foundations already in place, they’re looking for a contractor to accelerate delivery of critical pipelines and platform improvements.
THE ROLE
You’ll join a skilled data team to lead the build and optimisation of scalable pipelines using DBT, Airflow, and Databricks. Working alongside data scientists and ML engineers, you’ll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.
Your responsibilities will include:
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Building and maintaining production-grade ETL/ELT workflows with DBT and Airflow
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Collaborating with AI/ML teams to support data readiness for experimentation and inference
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Writing clean, modular SQL and Python code for use in Databricks
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Contributing to architectural decisions around pipeline scalability and performance
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Supporting the integration of diverse data sources into the platform
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Ensuring data quality, observability, and cost-efficiency
KEY SKILLS AND REQUIREMENTS
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Strong experience with DBT, Airflow, and Databricks
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Advanced SQL and solid Python scripting skills
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Solid understanding of modern data engineering best practices
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Ability to work independently and communicate with technical and non-technical stakeholders
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Experience in fast-paced, data-driven environments
DESIRABLE SKILLS
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Exposure to LLM workflows or vector databases
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Experience in the media, content, or publishing industries
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Familiarity with cloud data platforms (e.g., AWS or Azure)
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Knowledge of MLOps and ML/data science pipelines
HOW TO APPLY
To register your interest, please apply via the link or get in touch with your CV.
To Apply for this Job Click Here
Senior Data Engineer (Azure)
Nottingham
£65000 - £70000
+ Data Engineering
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To Apply for this Job Click Here
SENIOR DATA ENGINEER
£65,000-£70,000 + BENEFITS
PRIMARILY REMOTE
A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team.
THE COMPANY:
This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions.
THE ROLE:
A Data Engineer will need to:
- Work closely with stakeholders across the business
- Manage data warehouse end-to-end (gathering requirements and building solutions)
- Helping to build data models
YOUR SKILLS AND EXPERIENCE:
A successful Data Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Strong experience in SQL/Python
- Experience with Azure/ADF
- Background in CI/CD
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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Senior Data Engineer (Azure)
Birmingham
£65000 - £70000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
SENIOR DATA ENGINEER
£65,000-£70,000 + BENEFITS
PRIMARILY REMOTE
A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team.
THE COMPANY:
This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions.
THE ROLE:
A Data Engineer will need to:
- Work closely with stakeholders across the business
- Manage data warehouse end-to-end (gathering requirements and building solutions)
- Helping to build data models
YOUR SKILLS AND EXPERIENCE:
A successful Data Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Strong experience in SQL/Python
- Experience with Azure/ADF
- Background in CI/CD
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer (Azure)
Leeds
£65000 - £70000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
SENIOR DATA ENGINEER
£65,000-£70,000 + BENEFITS
PRIMARILY REMOTE
A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team.
THE COMPANY:
This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions.
THE ROLE:
A Data Engineer will need to:
- Work closely with stakeholders across the business
- Manage data warehouse end-to-end (gathering requirements and building solutions)
- Helping to build data models
YOUR SKILLS AND EXPERIENCE:
A successful Data Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Strong experience in SQL/Python
- Experience with Azure/ADF
- Background in CI/CD
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Research Scientist – Diffusion
London
£450 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Responsibilities
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Design and develop foundational image/video diffusion ML models.
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Train large-scale distributed models.
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Build demos to showcase prototypes.
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Manage large datasets for training.
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Optimize and deploy models for production.
Key Qualifications
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PhD in Computer Science or related field with strong publications in ML, Computer Vision, Robotics, or Graphics.
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Expertise in generative models (image/video diffusion) and modern transformer architectures.
Preferred Qualifications
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Experience with GANs, diffusion models, LLMs, and large-scale deep learning in PyTorch or similar.
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Strong coding skills with fast ML experimentation.
To Apply for this Job Click Here
Research Scientist – 3D
London
£450 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Responsibilities
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Design and build 3D foundational ML models.
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Conduct large-scale distributed training of deep learning models.
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Develop high-quality demos to showcase model capabilities and prototypes.
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Manage, preprocess, and maintain large datasets for training and evaluation.
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Optimize models for deployment, including performance tuning at test time.
Key Qualifications
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Ph.D. in Computer Science or a related field, with a strong research track record in Machine Learning, Computer Vision, Robotics, or Graphics.
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Solid understanding of 3D projective geometry.
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In-depth experience with video and image generative diffusion models.
- Strong programming skills and the ability to rapidly iterate on machine learning experiments.
To Apply for this Job Click Here
Principal Software Engineer
City of London
£100000 - £120000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
PRINCIPAL SOFTWARE ENGINEER
CITY OF LONDON – 4/5 DAYS IN OFFICE
£100,000 – £120,000
Our client, a leading investment management firm specialising in sports trading, is looking for a talented individual to join their expanding technical team. This is a unique opportunity to apply your expertise to real-world sporting events and contribute to a company with exceptional team retention and a collaborative culture.
THE COMPANY:
Founded in THE 2000s, this organically growing investment management firm has carved out a niche in the dynamic world of sports trading. With a turnover exceeding £10 million last year, they trade globally across various sports. Their technical team of 30 is at the heart of their success, and these new roles are crucial as they continue to build out their core functions.
You’ll be joining a company that prides itself on a strong, fluid culture, offering significant autonomy and a genuine commitment to work-life balance and flexibility. Their high team retention speaks volumes about the supportive and engaging environment they’ve cultivated.
THE ROLE:
As a Principal Software Engineer, you’ll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You’ll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You’ll work across the full stack, contributing to both front-end and back-end development.
This is a hands-on technical role and whilst a background in sports trading isn’t essential, an interest in sports, particularly in a quantitative context, would be a plus. You’ll be joining a collaborative environment where you have the opportunity to work cross-functionally and significantly impact the company’s core operations.
YOUR SKILLS AND EXPERIENCE:
The ideal Principal Software Engineer will have:
- Strong mathematical and statistical expertise, ideally from a quantitative background.
- Proficiency in C# and the .NET platform.
- Experience with JavaScript front-end frameworks, such as React.
- Solid understanding of Network Programming (TCP/UDP).
- Experience with Distributed Version Control systems (e.g., PlasticSCM, Git, Hg).
- A history of good tenure in previous roles.
HOW TO APPLY:
Please register your interest by sending your CV via the Apply link on this page.
To Apply for this Job Click Here
Lead Data Scientist
London
£80000 - £100000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
LEAD DATA SCIENTIST – CREDIT
£90,000
HYBRID – UK
This role does not offer sponsorship.
This is a fantastic opportunity to lead credit risk decisioning at a fast-growing fintech. You will be the go-to expert for credit strategy, owning model development and deployment, and helping shape the company’s lending performance.
THE COMPANY
This company is an ambitious fintech operating in the consumer finance space, providing oversees payments and credit cards. With a strong data-driven culture and a collaborative team structure, they are scaling quickly and investing heavily in their data capabilities to drive better customer and business outcomes.
THE ROLE
You can expect to be involved in the following day-to-day:
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Lead the end-to-end lifecycle of credit and affordability models, from data sourcing to production monitoring.
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Work with a range of data types, including bureau, open banking, and behavioural data.
-
Own the development and execution of decisioning strategies, including champion/challenger experiments.
-
Analyse portfolio performance and recommend strategic changes based on data insights.
-
Partner with engineering teams to deploy models into production systems.
-
Work closely with key stakeholders to align data-driven decisions with business goals.
YOUR SKILLS AND EXPERIENCE
-
5-7 years of experience in a consumer credit environment, particularly in decision science or data science.
-
Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM).
-
Experience working with transactional data and credit bureau sources.
-
Familiarity with model monitoring and performance tracking frameworks.
-
Proficient SQL skills for querying and data transformation.
-
Bonus: experience with unsupervised learning techniques, alternative credit data, or working in a startup/scale-up setting.
THE BENEFITS
-
Competitive salary
-
25 days holiday (+ bank holidays)
-
Private health insurance
-
5% pension match
-
Hybrid working (UK-based)
HOW TO APPLY
Please register your interest by submitting your CV via the Apply link on this page.
To Apply for this Job Click Here
Senior Product Analyst – Marketplace
City of London
£65000 - £72000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
SENIOR PRODUCT ANALYST – MARKETPLACE
£65,000-72,000 + BONUS + BENEFITS
CENTRAL LDN
THE COMPANY
This is a fantastic opportunity at a leading tech provider / marketplace. This company uses cutting-edge technology and are at the forefront of their market, with a current focus on driving personalisation across the customer journey and product offering.
THE ROLE
As a Senior Product Analyst in this leading tech provider, you will play a key role within product analytics. More specifically, as a Senior Analyst you will be involved in the following:
- Improving testing and experimentation strategy, monitoring performance of new marketing campaigns, funnel performance and ab testing/causal impact
- Identifying key growth opportunity whilst fostering a great work culture and environment
- Working with stakeholders across various teams
- Delivering insights on customers including demographic, LTV and engagement
- Regularly conducting a/b tests and other experiments
- Analysis incl. statistical analysis with tools such as Python/R desirable
- Development of some reports/dashboards in Tableau
YOUR SKILLS AND EXPERIENCE
The successful Senior Analyst will have the following skills and experience:
- Significant experience in Data Analytics, ideally in product analytics
- Excellent understanding and previous practical implementation of a/b testing and experiment design/frameworks
- Experience with SQL and ideally Tableau or similar for visualisation
- A strong focus on Marketing Analytics ideal
- Excellent business judgement and strategic thinking, with the technical toolkit to enable delivery and strong experience in collaborating and co-ordinating across multiple business departments
- Excellent communication and stakeholder skills
BENEFITS
The successful Senior Product Analyst will receive a salary between £65,000 and £72,000. In addition to this, you will receive an extensive benefits package and the opportunity to work in a great working culture and environment steering the direction of analytics for the company.
HOW TO APPLY
Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
City of London
£350 - £450
+ Data Science & AI
ContractCity of London, London
To Apply for this Job Click Here
Senior Data Scientist
Location: Hybrid (London)
Type: Full-time
Startup: A fast-growing AI startup
We’re workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors and fueled by a passion for solving real-world problems, we’re creating technology that makes AI accessible and impactful – and we want an experienced Senior Data Scientist to join our journey.
What You’ll Do
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Lead the design, development, and deployment of advanced data science models and solutions.
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Collaborate closely with cross-functional teams (engineering, product, design) to translate complex business challenges into data-driven strategies.
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Explore large datasets to uncover patterns, trends, and actionable insights.
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Develop prototypes and production-grade models for use cases such as predictive analytics, recommendation systems, and NLP applications.
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Mentor and guide junior data scientists and analysts.
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Stay up to date with the latest research, tools, and techniques in data science and machine learning.
What We’re Looking For
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5+ years of experience in data science, machine learning, or a related field.
-
Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
-
Deep experience in building and deploying models at scale.
-
Solid understanding of statistics, experimentation, and data storytelling.
-
Experience working with cloud environments (AWS, GCP, or Azure).
-
Ability to thrive in a startup environment – self-starter, adaptable, and collaborative.
Why Join Us?
-
Competitive compensation, including meaningful equity.
-
Remote-friendly with flexible working hours.
-
Work on high-impact projects that apply AI to real-world problems.
-
Learning budget for conferences, courses, and books.
-
Supportive, innovative team culture that values curiosity and experimentation.
To Apply for this Job Click Here
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