
Sports modeller
Hybrid
London, United Kingdom
Full Time
13-03-2025
Job Specifications
Sports modeller
4 days onsite, 1 day wfh
City of London
I'm looking to speak to sports modellers / quant analysts / data scientists who are experienced working with predictive models, researching new methods, and developing solutions using extensive datasets.
This role will sit on the football prediction team where your work will involve a mix of well-executed analyses and innovative modelling to address unique challenges in football analytics.
You’ll have the freedom to explore your ideas and collaborate with a team of quants, developers, and analysts, combining technical expertise with football knowledge.
Professional experience working within the sports trading space is not a prerequisite, but a demonstrable interest in football / sports is.
Experience:
3+ years in predictive modelling, machine learning, and probability theory, with a focus on sports or gaming/betting.
Expertise in Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting.
Proficient in Python; knowledgeable in SQL and relational databases.
Preferred Qualities:
Understanding of expected value, utility principles, and project prioritisation in betting.
Strong problem-solving skills; adept at delivering MVPs quickly while maintaining attention to detail.
Effective communicator for both technical and non-technical audiences.
Interest in football and sports analytics.
About the Company
Harrington Starr is a multi-award winning financial technology recruitment business based in London, Belfast and New York City. Founded in 2010, we are specialists in technology, change & transformation and sales recruitment and have helped clients and candidates across 5 continents. Our diverse range of clients include banks, hedge funds, vendors, service providers, payment providers, asset managers, start-ups, disruptors and many more. The one thing they have in common though is that they trust Harrington Starr with their... Know more
Related Jobs


- Company Name
- KDR Talent Solutions
- Job Title
- Lead Software Engineer
- Job Description
- Lead Software Engineer Location: Belfast (2 days a week) Salary: £60,000-£87,000 + 10% Bonus + 8% Pension Are you a passionate technical leader with a drive for solving complex problems through innovative solutions? Do you thrive on building and guiding high-performing teams? Our client, a world-renowned consultancy, is seeking a dynamic Technical Leader to help shape the future of digital transformation and technology solutions. About the Role As a Lead Software Engineer you will be at the forefront of digital innovation, leading technical teams through challenging and exciting projects. You will collaborate closely with clients to bridge the gap between business objectives and technical capabilities, ensuring solutions are scalable, efficient, and cutting-edge. Your role extends beyond leadership—you’ll bring deep technical expertise in architecture, software development, and engineering best practices. You will mentor engineers, drive continuous improvement, and contribute to winning new business opportunities. Key Responsibilities Client Collaboration – Work directly with clients to understand their unique challenges and develop tailored technology solutions. Technical Leadership – Lead engineering teams in designing, developing, and delivering complex solutions. Provide mentorship and foster a culture of excellence. Hands-on Expertise – Be ready to roll up your sleeves when needed, from troubleshooting to guiding architectural decisions. Talent Development – Play a key role in recruitment, training, and professional development of engineering talent. Continuous Improvement – Identify opportunities to improve engineering standards, delivery processes, and system performance. What We’re Looking For We value diverse backgrounds and experiences, so if you don’t meet every requirement but believe you can make an impact, we encourage you to apply! Strong communicator and team player, with a collaborative mindset. Expertise in scalable system design, software development, and security best practices. Experience mentoring and coaching junior engineers to help them grow in their careers. Proven track record of delivering enterprise-grade applications on cloud platforms (AWS, GCP, Azure). Hands-on experience leading Agile teams using Scrum or Kanban methodologies. Proficiency in at least one major programming language (JavaScript, Java, .Net) and relevant frameworks. Deep understanding of CI/CD, infrastructure-as-code, and release management strategies. Knowledge of modern engineering standards such as TDD, contract testing, and secure coding. Why Join Us? Our client is an industry leader with a global presence, offering the opportunity to work on transformative projects that make a lasting impact. They provide a highly collaborative and inclusive environment, where innovation and professional growth are at the core of their culture. Benefits & Perks Private healthcare for you and your family 25 days annual leave (plus an extra half-day on Christmas Eve) with the option to buy an additional 5 days Generous company pension scheme Annual performance-based bonus Share ownership options Community and charity involvement opportunities Tax-efficient benefits, including cycle-to-work and give-as-you-earn schemes Flexible Working While client needs drive our schedules, we empower our team with autonomy to balance work and life effectively. If you’re ready to take on a leadership role that challenges and inspires, apply today and be part of an organisation where your expertise and ideas will shape the future of technology. Apply now to explore this exciting opportunity!


- Company Name
- OPmobility
- Job Title
- Robotics and Automation Engineer
- Job Description
- Hungry for challenges? Join a group with innovation at its heart and contribute to the automotive revolution! OPmobility is a world-leading provider of innovative solutions for a unique, safer and more sustainable mobility experience. Innovation-driven since its creation, the Group develops and produces intelligent exterior systems, customized complex modules, lighting systems, clean energy systems and electrification solutions for all mobility companies. With a €11.6 billion economic revenue in 2024, a global network of 150 plants and 40 R&D centers, OPmobility relies on its 38,800 employees to meet the challenges of transforming mobility. By adding intelligent functions, lighting & sensors etc and by extending the scope of what is possible in terms of design, OPmobility is making cars safer, smarter and more stylish. Body panels are now packed with technologies that improve the driver experience, safety and vehicle appearance. The result? An elegant car that will, in time, be made largely from bio-sourced or recycled materials. Our ambition? Provide automakers with cutting-edge equipment and solutions to develop tomorrow’s clean and connected car. The mission of a Robot and Automation Engineer in a painting line is to ensure the efficient and reliable operation of robotic systems and automation processes to achieve high-quality, cost-effective, and reliable production processes in the painting line. Responsibilites: Optimizing Production: Enhance the performance and efficiency of the painting line by integrating and programming robots to perform tasks accurately and consistently. Maintaining Equipment: Ensure all robotic and PLC (Programmable Logic Controller) equipment is maintained in perfect working order, minimizing downtime and maximizing productivity. Improving Processes: Continuously seek opportunities to improve and optimize automation processes, incorporating Lean manufacturing and kaizen principles to enhance quality, cost, and delivery. Troubleshooting and Repair: Quickly detect and repair defects in robotic systems, providing technical support during breakdowns to ensure smooth and uninterrupted production. Training and Development: Train operators and technicians on the proper use and maintenance of robotic systems, fostering a skilled workforce capable of handling advanced automation technologies. Compliance and Safety: Ensure all operations comply with current work instructions and safety protocols, maintaining a safe and efficient working environment. Requirements & Competecies Strong engineering background with experience of Electrical, Pneumatics, Hydraulics installations Proven ability in offline and online robot programming, with a strong preference for experience with Fanuc and ABB robots Demonstrated expertise in PLC programming, partiularly with Schneider and Siemens systems Good understanding of Lean manufacturing principles and kaizen methodologies Proficient in practical problem-solving techniques (including 8D, A3 formats) Strong team player Excellent verbal and written communication skills As a responsible company, Plastic Omnium pays particular attention to diversity and equality within its teams and the Group commits to treat all job applications equally.


- Company Name
- KDR Talent Solutions
- Job Title
- Java Software Engineer
- Job Description
- Software Engineer (Java) – Belfast (2 days a week) - £38,000-£68,000 + 10% Bonus & 8% Pension Are you a highly skilled Java Engineer looking for your next challenge? We are currently recruiting on behalf of a prestigious consulting firm that specialises in delivering cutting-edge solutions across multiple industries, including financial services, healthcare, defence, and public services. This is an exciting opportunity to work with a team of world-class team contributing to innovative projects that have a tangible impact. If you are passionate about software development and thrive in a collaborative environment, we want to hear from you! The Role As a Java Engineer, you will play a key role in designing, developing, and delivering robust software solutions. You will be responsible for implementing best practices in Java development, working with the latest frameworks and technologies, and leading teams to successful project execution. Key Responsibilities Design and develop scalable software solutions using object-oriented programming principles in Java. Utilise Java 8 features such as streams, functional interfaces, and collections to optimize performance. Implement multi-threading strategies to ensure system efficiency and prevent deadlocks. Design and implement RESTful services, adhering to industry best practices. Utilise testing frameworks such as JUnit, Wiremock, Mockito, and Cucumber for comprehensive unit and integration testing. Work with a variety of data storage solutions, including ElasticSearch, Postgres, Aurora, and OpenSearch. Implement cloud-based hosting and orchestration using Docker, Kubernetes, and AWS Autoscaling Groups. Develop and maintain CI/CD pipelines using BitBucket, Terraform, Jenkins, and Ansible. What We're Looking For A minimum of 3 years of hands-on experience in Java software development Strong expertise in Java OOPS concepts, Java 8 features, and multi-threading. Proven ability to design, implement, and deliver complex software solutions. Experience with cloud technologies, CI/CD pipelines, and container orchestration. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Why Join Us? Work on exciting and meaningful projects across various industries. Enjoy a competitive salary and an excellent benefits package. Take advantage of career development opportunities in a dynamic and innovative environment. Benefit from a flexible work culture that promotes work-life balance. Join a diverse team of professionals committed to making a positive impact. We understand that not every candidate will meet every single requirement, so if you feel you have relevant skills and experience, we encourage you to apply! We would love to hear from you. Apply today to take the next step in your career with a leading consulting firm!


- Company Name
- Unilever
- Job Title
- Ice Cream Digital and Data – Data Science and AI Expert
- Job Description
- Job Title: Ice Cream Digital and Data – Data Science and AI Expert Location: Colworth Science Park Background Info The job holder will be a member of the Ice Cream Modelling and Analytics team which is part of the Digital and Data group within the Ice Cream Research, Design and Innovation (RD&I) organisation. The team is focused on developing and utilizing the latest digital technologies to foster a data-driven decision-making culture, which in turn will deliver faster and superior innovation, to support the growth of the Ice Cream Company. Job Purpose This role will be instrumental in advancing our AI-driven RD&I strategy, leveraging big data, machine learning, and advanced analytics to optimize product formulation, consumer experience, and manufacturing processes. The job holder will work at the intersection of data science, AI, and food science, contributing to the digital transformation of ice cream innovation by analysing complex datasets, developing predictive models, and integrating AI into the product design pipeline. Responsibilities Build predictive models and AI-driven simulations to optimize formulation, texture, and stability of ice cream products. Apply machine learning, deep learning, and computer vision techniques to analyse sensory data, consumer preferences, and manufacturing conditions. Develop recommendation systems for ingredient selection, processing conditions, and formulation adjustments. Fine-tune AI models to predict ice cream melting behaviour, texture, flavour release, and cold chain stability Use natural language processing (NLP) and generative AI to analyse consumer feedback and identify emerging trends Develop digital twins and simulation models to replicate and optimize ice cream production conditions and consumer preference of our ice cream products Work closely with food scientists, RD&I product developers and factory teams to translate AI-driven insights into tangible business value. Partner with external research institutions and AI startups to explore cutting-edge technologies to drive productivity in RD&I Communicate findings and technical concepts effectively to both technical and non-technical stakeholders. All About You Key requirements & experience Master’s or PhD in Data Science, Computer Science, AI, Applied Mathematics, or a related field. Experience in AI, machine learning, or big data analytics, preferably in FMCG, food science, or manufacturing. Hands-on experience in AI-driven product design, predictive modelling, or IoT-based data analytics is highly desirable Programming: Strong proficiency in Python (preferred), R, or Julia for AI and data analytics. Big Data & Cloud Computing: Experience with AWS, Google Cloud, Azure, Databricks, or Snowflake. Machine Learning & AI: Proficiency in frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face. Data Engineering: Experience with Spark, SQL, Kafka, or Airflow for big data processing. Statistical Analysis & Experimentation: Familiarity with Bayesian modelling, DOE (Design of Experiments), and multivariate analysis will be an asset Visualization & Reporting: Proficiency in Power BI, Tableau, or Streamlit will be an asset but not required Key Standards of Leadership Purpose and Service Agility Passion for High Performance Key Interfaces IC RD&I project and workstream leaders and team members RD&I Digital and Data group Academic partners External Technology companies NOTES About Unilever Unilever is one of the world’s leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Dove, Tresemme, Lynx, Lifebuoy, Shea Moisture, Persil, Domestos, Ben & Jerry’s, Magnum, Marmite, The Vegetarian Butcher, Graze and Pot Noodle. Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet. That’s why our purpose is ‘to make sustainable living commonplace’ What We Offer Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, subsidised gym membership, a discounted staff shop and shares. You’ll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment. Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion at Unilever | Unilever. Recruitment Fraud Cyber criminals advertise fake job adverts with prestigious employers as a way of stealing information or even defrauding individuals out of money. In the most sophisticated cases, they will set up fake websites, which have a similar address to companies like Unilever. They even conduct fake telephone interviews and then offer candidates a role with the proviso they pay a fee for background checks or to cover work visa costs. These types of attacks are becoming more common as more people are looking for employment in the economic climate. How is Unilever tackling this? Many of Unilever’s recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down. What can I do? If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat. Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!