Data Scientist

Faculty

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the team Our Retail and Consumer Business Unit is committed to leveraging AI to transform how retail and consumer businesses operate, compete, and serve their customers. From optimising supply chains and pricing strategies, to personalising customer experiences, through to forecasting demand with greater precision — we know that AI offers opportunities to drive improvements at every level of the retail and consumer value chain, and we are proud to lead on some of the most impactful work happening in the sector. About the role: As a Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence. You'll design and deliver bespoke data science solutions, shaping the technical direction of high-impact projects and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing: * Mapping the end-to-end data science approach and designing the associated software architecture for projects * Driving the technical scoping and feasibility assessment of new projects * Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements * Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making * Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership) * Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects Who we're looking for: * You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence. * You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). * You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. * You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment. * You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences. * You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes. Our Interview Process 1. Talent Team Screen (30 minutes) 2. Take Home Technical Assessment 3. Technical Interview (90 minutes) 4. Commercial Interview (60 minutes) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.   The Role  You will join a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.   How will you work?  Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.     We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.  If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.    As a Data Scientist DS3 you and your team will play a major role in developing and implementing predictive models across all major sporting codes. You will prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes.  What skills do you have?  * A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject  * A strong understanding of probability and statistics fundamentals  * Proficiency with Python or other scripting/programming languages (R, Matlab, etc)  * Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.)  * Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You contribute effectively to conversations that drive alignment and uncover edge cases others might miss.  It is advantageous for you to have knowledge of the following:    * Sports rules and strategies  * Sports betting  * Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining  * Data engineering  * Rust, C++, other programming languages  * Real-time systems and/or high-performance computing  What we expect from our co-workers    * Curiosity and strong desire to learn and improve.   * Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.  * Time management and asynchronous communication skills relevant for a geographically diverse engineering organization.  * Enthusiasm and ability to work collaboratively within a team.  * Excellent spoken and written English.  * Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement.  We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change   We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Kpler

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.   Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.