Solution Architect
London / £80000 - £90000 annum
INFO
£80000 - £90000
LOCATION
London
Permanent
SOLUTIONS ARCHITECT - SPORTS INDUSTRY
LONDON
Company
Our client is a globally recognised sports and entertainment organisation with a rich history and a passionate international fanbase. Known for their commitment to innovation, community, and excellence, they're undergoing a transformative journey to redefine how they engage with millions of supporters around the world. With a forward-thinking leadership team and major investment in their commercial and digital capabilities, this is a unique opportunity to join one of the most exciting brands in the industry.
The Role
We're recruiting for a Solution Architect - Data to lead the development and execution of cutting-edge, scalable data solutions that will underpin a new era of global supporter engagement. This pivotal role will sit at the intersection of technology, marketing, and commercial strategy, helping shape the future of how data drives decision-making and personalisation at scale.
As the architect of a modern data ecosystem, you'll own the end-to-end design and implementation of enterprise-level data infrastructure across platforms including Azure, Databricks, Tableau, Cortex (CDP), and MS Dynamics. You'll be the bridge between stakeholders and delivery teams, turning complexity into clarity and leading a high-performing team and partner network to deliver against ambitious goals.
This is more than just a technical leadership role - it's a chance to set direction, inspire a growing team, and leave a legacy by building a scalable, efficient, and intelligent data function from the ground up.
Your Experience
We're looking for someone who brings:
10+ years of experience in enterprise-scale data architecture, ideally within a cloud-native environment (Azure highly desirable).
Proven leadership of cross-functional data teams (internal and external), delivering complex projects through collaboration and accountability.
Deep expertise in data modelling, data flow design, and API-based data integration - including experience with GraphQL for real-time access.
Hands-on technical knowledge across data platforms and tools including Databricks, Tableau, CDPs, and CRM systems such as MS Dynamics.
A strategic mindset combined with the ability to get into the detail - this role blends vision with execution.
Strong communication skills - you can translate technical concepts for non-technical audiences and influence at all levels.
A background in marketing, CRM, or supporter/customer analytics is a plus but not essential.
The Benefits
This is an opportunity to work for an iconic organisation at a moment of transformation. You'll enjoy:
Leading a high-impact team at the forefront of a new global data strategy.
Working with best-in-class tools and technologies in a modern Azure-first architecture.
A culture that values innovation, autonomy, and continuous learning.
The chance to shape and deliver solutions that make a real difference to how millions of fans connect with something they love.
Competitive salary and a compelling benefits package.
CONTACT
Alfie Turner
Senior Recruitment Consultant
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To Apply for this Job Click Here
DÉVELOPPEUR.SE FULLSTACK
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L’ENTREPRISE
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Merci de joindre ton CV à jour et nous reviendrons vers vous dès que possible.
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£450-550 PER DAY OUTSIDE IR35
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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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Ensuring data quality, observability, and cost-efficiency
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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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Familiarity with cloud data platforms (e.g., AWS or Azure)
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Knowledge of MLOps and ML/data science pipelines
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A successful Data Engineer will have the following skills and experience:
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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.
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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.
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To Apply for this Job Click Here
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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.
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The ideal Principal Software Engineer will have:
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Please register your interest by sending your CV via the Apply link on this page.
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London
£80000 - £100000
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To Apply for this Job Click Here
LEAD DATA SCIENTIST – CREDIT
£90,000
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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.
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Own the development and execution of decisioning strategies, including champion/challenger experiments.
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Analyse portfolio performance and recommend strategic changes based on data insights.
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Partner with engineering teams to deploy models into production systems.
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Work closely with key stakeholders to align data-driven decisions with business goals.
YOUR SKILLS AND EXPERIENCE
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5-7 years of experience in a consumer credit environment, particularly in decision science or data science.
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Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM).
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Experience working with transactional data and credit bureau sources.
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Familiarity with model monitoring and performance tracking frameworks.
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Proficient SQL skills for querying and data transformation.
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Bonus: experience with unsupervised learning techniques, alternative credit data, or working in a startup/scale-up setting.
THE BENEFITS
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Competitive salary
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25 days holiday (+ bank holidays)
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Private health insurance
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5% pension match
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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
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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
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- Working with stakeholders across various teams
- Delivering insights on customers including demographic, LTV and engagement
- Regularly conducting a/b tests and other experiments
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- 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
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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
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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.
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Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
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Deep experience in building and deploying models at scale.
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Solid understanding of statistics, experimentation, and data storytelling.
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Experience working with cloud environments (AWS, GCP, or Azure).
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Ability to thrive in a startup environment – self-starter, adaptable, and collaborative.
Why Join Us?
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Competitive compensation, including meaningful equity.
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Remote-friendly with flexible working hours.
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Work on high-impact projects that apply AI to real-world problems.
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Learning budget for conferences, courses, and books.
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Supportive, innovative team culture that values curiosity and experimentation.
To Apply for this Job Click Here
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