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If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Knowledge/experience with digital healthcare tools design and development, • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high compute cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high computer cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly to the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Knowledge/experience with digital healthcare tools design and development, • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high compute cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Knowledge/experience with digital healthcare tools design and development, • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high compute cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

Join a dynamic team within the Office of the Chief Financial Officer, where you'll oversee the development and distribution of macroeconomic scenarios integral to the Firm's forecasting processes. Collaborate with the Economics and Strategy Research teams, Chief Risk Officer, Chief Financial Officer, Financial Planning teams, and other corporate areas. The scenarios encompass projections of key U.S. and global macroeconomic indicators, interest rates, equities, FX and credit markets, real estate markets, etc. Accordingly, a broad knowledge base in economics and finance is essential. The team develops scenarios across a range of potential economic backdrops, which are distributed Firmwide. As a Firmwide Economic Scenarios Vice President in the Office of the Chief Financial Officer, you will play an integral role in the team's scenario design work and macroeconomic forecasting. You will directly execute forecasts for macroeconomic variables, consult with Subject Matter Experts, present to key stakeholders, interact with senior leaders, and lead junior team members. Job Responsibilities: • Lead the execution of macroeconomic forecasts that form the basis of the scenarios, working closely with key forecasting partners and scenarios users., • Monitor economic releases and events, prepare commentary, track evolving risks, stay abreast of trends in economics and financial markets, and anticipate implications for macroeconomic forecasting and scenario design., • Lead communication and meetings across various functions, locations, and lines of business to facilitate discussions, set priorities, and ensure alignment among stakeholders and senior management., • Oversee multiple project workstreams, manage inbound inquiries, deliverables, and ad-hoc requests, with an emphasis on accuracy and timeliness in meeting deliverables within prescribed timelines., • Develop executive-level presentations for senior management and internal stakeholders., • Collaborate with quantitative model development teams to guide the development and enhancement of macroeconomic forecasting methodologies., • Strong quantitative skills: Master's degree in Economics, Econometrics, Quantitative Finance, or a related field., • Extensive (8+ years) experience in research, forecasting, or business analytics for a leading financial institution, central bank, consulting firm, or similar, with a strong background and interest in economics. A PhD may be considered as part of this experience., • Advanced Excel and Microsoft Office skills and experience in at least one programming language or statistical software (e.g., Python, R, EViews, Excel VBA)., • Exceptionally detail-oriented with the ability to synthesize large volumes of data and diverse perspectives, summarize key concepts, and clearly articulate relevant conclusions., • Excellent organizational and verbal and written communication skills., • A proven track record of executing against deliverables and meeting deadlines under pressure., • Self-starter, with the ability to multitask in a fast-paced environment with frequently changing priorities., • Experience with scenario design in the context of CCAR, CECL, etc. is a plus., • Prior knowledge and coverage of major non-U.S. economies would be considered a plus., • Experience in forecasting, statistical analysis, or research on macroeconomic and/or financial variables would be considered a plus., • Experience with structural and semi-structural macroeconomic forecasting models (e.g., DSGE, FRB/US, NiGEM), or other time-series econometric models is considered a plus., • Experience working with machine learning, AI, or language models is considered a plus. Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

Job Description Leverage your problem-solving skills to thrive in a fast-paced environment and drive customer-centric strategies. As a leader in solutioning, collaborate closely with the Sales teams to deliver tailor-made product solutions that meet clients' needs. You will enable JPMorgan Chase Firmwide teams to deliver AI value from the Fusion Platform Solutions and Services. You will build expertise in one or more Data or AI domains, create and maintain high-quality user documentation and training materials and guide clients in leveraging tools and capabilities to enable their data and analytics outcomes. We are seeking a highly motivated specialist with a good foundational knowledge in Data and AI/ML technologies. As a Product Solutions Manager Data & AI Vice President in Chief Data and Analytics Office organization, you are an integral part of a team that defines and configures complex solutions for key client relationships and prospect opportunities in partnership with Sales. You are responsible for acting as the voice of the customer by understanding their needs and communicating feedback to the Product teams. The Chief Data and Analytics Office Product and Platform team is responsible for designing and delivering governance, discovery, access, and data and AI services, empowering JPMorgan Chase teams to accelerate their data and analytics journeys and maximize commercial outcomes. The Chief Data and Analytics Office Product and Platform Client Engagement Team is responsible for account management, solutions, implementation, and client service for JPMorgan Chase Lines of Business and Corporate Functions. You have a curious and commercial mindset and are interested in learning about internal client use cases. You are a significant contributor to a team that defines and helps clients implement integrated solutions with the Fusion Platform. Job responsibilities • Leads solutioning and the adoption of existing and upcoming client-facing products and capabilities while defining and configuring optimal solutions that address clients' needs and objectives., • Serves as a subject matter expert on a defined set of products and capabilities with a deep understanding of our clients' needs and current industry trends., • Engages with client teams to better understand pain points and refine solutions while regularly communicating critical client feedback to Product teams to inform the strategic product roadmap., • Supports internal clients use of the Fusion Platform for providing expertise and guidance on multiple Product capabilities., • Engages with internal clients to understand their requirements and support implementation of integrated data and ai solutions., • Represents the Chief Data and Analytics Office Product Roadmaps, articulating benefits and providing guidance and options on paved paths., • Develop examples AI/ML experiments, applications and tools including tutorials, reference implementations, and presentations for internal clients., • Provide feedback to product and engineering teams to help shape product development and strategy., • Balance multiple tasks, client engagements, and continuous learning to keep up with academic trends., • Manages office hours to educate, demo and collect feedback and issue from internal clients, • Considerable experience or equivalent expertise in problem-solving across multiple teams and a cluster of products, • Extensive experience working in a sales cycle and engaging with clients on a regular basis. Experience modifying preconfigured solutions to meet complex problems., • Demonstrated prior experience working in a highly matrixed and complex organization., • Understanding of a wide range of statistical models (for example regression, tree-based methods, artificial neural networks), • Good programming skills in at least one of the commonly used languages for data analysis (for example Python, R, MATLAB, Scala)., • Experience with applying data science/quantitative modeling to real world, financial use cases. Knowledge of open-source data analysis tools and machine learning libraries, • Experience in creating technical documentation and presentations and the ability to present to a technical and non-technical audience. Comfortable in a fast-moving environment with often loosely defined tasks where interaction with senior management is required., • Hands-on experience in or solid understanding of LLMs, their capabilities and limitations, Fine-tuning LLMs for specific tasks and applications, • GenAI chatbots/summarization services and GenAI business applications, • Agentic architectures, orchestration patterns and evaluation approaches, • Master's degree in a quantitative discipline, • Knowledge of cloud data science and machine learning services J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description: About bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people's lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities • Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability)., • Collaborate with cross-functional teams to translate business problems into ML solutions., • Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing., • Optimise model performance and ensure scalability and reliability in production environments., • Contribute to the design of ML system architecture and data infrastructure., • Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation., • Mentor junior engineers and data scientists, and contribute to technical design reviews., • Experience in machine learning engineering or applied data science roles., • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn., • Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs., • Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)., • Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark)., • Strong communication skills and ability to work collaboratively in a team environment., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to vector databases and semantic search., • Knowledge of software engineering best practices and system design., • Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation., • Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications., • Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks., • Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. A little more about your role... We are seeking an experienced and enthusiastic Senior or Principal Hydrologist to join our dynamic Sustainable Water Management team. This is an exciting opportunity to lead and contribute to high-profile Water Industry Natural Environment Programme (WINEP)and Water Resources Management Plan (WRMP) projects across the UK. WSP is currently embarking on a significant programme of AMP8 WINEP projects for multiple high profile UK water companies. The projects are geographically and environmentally diverse. WSP is also leading the way in delivering challenging Environmental Destination projects across the UK, a topic that will feature heavily as AMP8 progresses. We will also be supporting water companies with developing hydrology for their WRMPs. Your team.... Our Catchment Science team works across a wide spectrum of services covering water resources and water security, hydrology and hydraulics, water quality, hydroecology and hydrogeology. Through our projects we provide high quality technical services and advice to a wide range of high-profile customers in the UK and overseas, including government departments and agencies, the water industry, and a wide range of other industrial sectors, including power, transport, nuclear, mining, commercial and oil and gas. Over the course of AMP7 Period we saw a significant growth in demand for our skills across the UK Water Company Sector and associated Regulators. This demand is significantly increasing as AMP8 commences, in part due to WSP's position as the go-to consultant for Environmental Destination investigations. What we will be looking for you to demonstrate... • A track record of contributing to the hydrological and water management elements of WINEP investigations and WRMP inputs in recent AMP cycles., • Experience in the development of rainfall runoff models such as GR6J, together with a sound understanding of model calibration techniques., • A solid understanding of wider hydrology approaches that are often required for water resources applications in England and Wales, including flow naturalisation / decomposition and development of reservoir mass balance models., • Some familiarity with demand management and water resources modelling approaches such as Aquator, PyWR, MISER., • A good understanding of the latest UK water resources management regulations including the Water Resources Planning Guidelines and WINEP guidance such as Preventing Deterioration and Environmental Destination., • An understanding of approaches to assessing climate change resilience, including familiarity with UKCP18 and associated data products., • Supervision of small hydrology teams, mentoring, developing and supervising junior colleagues, with opportunities for formal People Management., • An attention to detail and commitment to quality assurance, to include the production of high quality client and stakeholder/regulator facing deliverables., • Programming experience would be advantageous (e.g. Python and/or R), together with an interest in developing these skills., • Excellent communication skills and ability to write high quality concise reports, • A water-focused MSc (e.g. hydrology & water resources, sustainable water management etc.) and BSc in related subject (e.g. physical geography, earth sciences, geology, civil engineering, etc.) Imagine a better future for you and a better future for us all. Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today. About Us We are one of the world's leading engineering and professional services firms. Our 72,800 passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 9,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. WHAT'S IN IT FOR YOU? Work-life balance At WSP, we understand that work is just one aspect of your life. It's important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. Inclusivity & Belonging We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote our culture of inclusivity. Health & Wellbeing We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. Flex your time To enhance work-life balance, WSP offers the "WSP My Hour," allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. Your development We understand the importance of development and training to you. That's why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. #WeAreWSP Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. As a Disability Confident leader, we will interview all disabled applicants who meet the essential criteria, please let us know if you require any workplace adjustments in support of your application.

Quantitative Analysis - Market Risk - Associate Director (4585) We are seeking an experienced Associate Director to join our Market Risk advisory practice, focused on delivering innovative quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on risk measurement, modelling, and regulatory compliance, contributing directly to their strategic decision-making progress. Responsibilities • Lead small and large multidisciplinary engagements and manage client relationships, provide advanced quantitative analysis and modelling to address complex market risk challenges, • Develop, validate, and implement quantitative risk models (including cVaR, CCR and xVA), • Provide thought leadership in quantitative methodologies, regulatory requirements (e.g. Basel III/IV, FRTB), derivatives pricing techniques, and industry best practices, • Lead project teams, mentor and supervise junior team members, and ensure high-quality delivery, • Support business development initiatives, including identifying new opportunities and developing proposals What are we looking for?, • Minimum of 7-10 years of relevant experience in quantitative modelling, market risk management, derivatives pricing, or risk advisory within financial services, • Demonstrated experience in one or more of the following areas: derivatives pricing, stochastic modelling techniques, statistical methods including AI/ML, and programming (e.g. Python, R, C++), • Excellent analytical and problem-solving skills with the ability to translate complex quantitative concepts clearly to non-technical stakeholders What we offer?, • A dynamic, collaborative, inclusive work environment, • Opportunities to work with leading global financial institutions on challenging and impactful projects, • Continuous professional development with tailored training and mentorship About Forvis Mazars Forvis Mazars is a leading global professional services network. The network operates under a single brand worldwide, with just two members: Forvis Mazars LLP in the United States and Forvis Mazars Group SC, an internationally integrated partnership operating in over 100 countries and territories. Both member firms share a commitment to providing an unmatched client experience, delivering audit & assurance, tax and advisory services around the world. Together, our strategic vision strives to move our clients, people, industry and communities forward. Through our reach and areas of expertise, we help organisations respond to emerging sustainability issues in the global marketplace including human rights, climate change, environmental impacts and culture. We are one diverse, multicultural, multi-generational team with a huge sense of connection and belonging. This is a place where you can take ownership of your career, get involved, believe in yourself and put your ideas into action. At Forvis Mazars, we empower our people and celebrate individuality. We thrive on teamwork and are agile. We have bold foresight and give people the freedom to make a personal contribution to our shared purpose. We support one another to deliver quality, create change and have a deeper understanding, to help make an impact so that everyone can reach their full potential. Being inclusive is core to our culture at Forvis Mazars; we want to ensure everyone, whether in the recruitment process or beyond is fully supported to be their unique self. To read more about our approach click here. Our aim is to make the recruitment process as accessible and inclusive as possible - please contact us to discuss any changes you may require so we can work with you to support you throughout your application. Visit forvismazars.com/uk to learn more.

Our client is a leading consultancy to the UK and European regulated utilities and energy markets and they provide. The broader team's work includes market and policy design, economic analysis, deal structuring and execution, as well as strategic and transaction advice. They are widely recognised by many industry stakeholders as one of the most innovative advisors influencing the future of the sector. This specific role sits within their Regulatory Finance team and you will be focusing on competition economics and you will benefit from working closely with other professionals who frequently support them on their cases, including regulatory finance experts and econometricians. The projects you will advise on will be high profile and varied. In recent years they have advised on subsidy control, CMA re-determinations, risk analysis, major transactions and much more. Job responsibilities: • Play a pivotal role in running projects and maintaining client relationships with minimal supervision from Directors and Partners., • Ensure that client work is delivered to the highest standards in both content and form, managing client interactions, tracking budgets, and complying with the company’s risk processes., • Lead project teams of 2-12 people, fostering a collaborative spirit and culture of respect. Maintain a positive attitude when the team is under pressure, supporting other team members., • Play a key role in their sales efforts, building and maintaining effective relationships with key clients across the sector, as well as with other advisors. Identify and act on new opportunities with both new and existing clients., • Be involved in the wider management and development of the Regulatory Finance team, including contributions to recruitment, performance appraisal, mentoring and thought leadership. Experience required: • MA/MSc/MPhil or above in Economics, PhD desirable, preferably with a focus on competition, microeconomics or applied econometrics., • Significant experience working as an economist in either a consulting firm, regulator, regulated firm or government department., • Demonstrable expertise in competition economics., • Experience in managing economic analysis for large projects, including management of teams, resources and junior colleagues., • Experience of explaining complex economics clearly and applying economic concepts and techniques to real world situations. Excellent report writing and PowerPoint skills., • Comfortable and experienced in an external facing role and in presenting to clients., • An independent thinker with the ability to identify problems and contribute to the development of solutions, helping us to remain at the cutting edge of innovative thinking in the sector., • Experience in developing new business is highly desirable., • A good understanding of the UK utilities markets and the regulatory regimes that govern them is desirable., • Significant experience and/or qualifications in quantitative techniques/econometrics and the handling of large datasets is desirable., • Knowledge of programming languages such as R, Stata or others is desirable. Our client is looking for someone with a collaborative mentality and entrepreneurial spirit. They want someone who wants to share powerful ideas and build relationships with internal and external stakeholders alike. You will also welcome different perspectives and happily share your own. Successful applicants will be contacted within 24 hours to discuss further. Cambridge Credentials Ltd adding people…adding value

Following the recent appointment of a standout Operations Director, our client is one of London's fastest growing M&E contractors and is seeking to hire a Senior M&E Project manager to join their growing and vibrant team in the city. They are a well-established company who have showed pure excellence and growth over the years, from only doing small renovations to now multi million pound projects. The business has gone from 20 million to 50 million in turnover in just two years and they have a full order book for this and next year. They predominantly work across the shell and core, fit out projects in the commercial, R&D and Education sectors. They boast excellent staff retention, a clear progression route and some of the best incentive schemes around. The successful candidate will be responsible for leading the M&E Package on a £12m M&E project consisting of laboratories, lecture theatres and teaching facilities. You will have a team of engineers and construction managers to assist with preconstruction and delivery. Duties will include: • Tender review and validation, • Design Review liaising with consultants, client and main contractor, • Procurement of major plant and subcontractors, • Programming of works using MS Project / Asta, • Oversee all trade contractors, • Leading the project from a commercial aspect and overseeing profitability., • Chairing meetings internally and externally, • Management of commissioning stages and project handover to the client The candidate will have experience working within the Labs, Healthcare or Office Sector, experience in a project management role, longevity in previous employment and managing large M&E projects with the ability to deliver contracts on time and to the client’s satisfaction. HNC or a degree qualification is desired but not essential.

GUI development using Qt; Qt Creator; Qt Designer, Qt Quick; QML. Our leading R&D client is looking for GUI QT Developer based at office at London (no remote or hybrid) A degree (MSc or PhD) in either Computing Science/ Geology /Maths, C or C++ programming and design; object oriented design; C++ s

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities • Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities., • Calibrate and validate models using a wide range of qualitative and quantitative data sources., • Contribute to building a robust and adaptable loss modelling framework., • Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For • Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils., • Proficiency with geospatial data (climate and Earth observation) and economic damage datasets., • Strong programming skills in Python, R, or a similar language., • Excellent communication skills, able to explain complex concepts to non-technical audiences., • A self-starter who thrives in a fast-paced R&D environment., • Experience in catastrophe modelling, especially around exposure and vulnerability., • Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory., • Knowledge of machine learning applications in climate risk., • Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does not offer sponsorship.

MARKET RESEARCH ANALYST MARKET RESEARCH UP TO £40,000-45,000 + BENEFITS LONDON (HYBRID) We’re working with a full-service market research company specializing in brand strategy, experience and communications. They utilise a range of qualitative and quantitative research methods alongside cutting-edge data analytics. Their client base is made up of famous brands across a wide range of sectors including FMCG, financial, automotive, leisure and healthcare. THE ROLE: The Market Research Analyst will have the following responsibilities: • Working under the supervision of more senior members of the data science team to design market research projects with an analytic component (e.g. driver analysis, segmentation, conjoint), • Performing cleaning and analysis of survey data according to project need – from simple tables to more complex explorations, • Demonstrating a willingness to work co-operatively with others for the overall benefit of the company, • Communicating with clients and colleagues in a confident and articulate manner YOUR SKILLS AND EXPERIENCE: The ideal Market Research Analyst: • Good grasp of the R programming language, • Knowledge of other statistical packages and languages such as SPSS would be an advantage, • Working knowledge of analytical techniques within primary research, such as: Regression techniques (including, linear, Segmentation, MaxDiff/Conjoint), • Excellent attention to detail and a methodical approach to working through code and coding strategies THE BENEFITS: • A salary up to £45k, • Pension scheme, • Hybrid working Please register your interest by sending your CV to Louis Collins via the apply link on this page

Hobson Prior is seeking an HTA Statistician to join a team dedicated to delivering impactful analytical solutions in clinical and real-world evidence settings. This role involves contributing to advanced statistical analyses and supporting health technology assessments (HTA) and late-stage clinical trials. If you have a passion for applying innovative statistical methods and working with data to inform healthcare decisions, this opportunity could be the perfect fit for you. Please note that to be considered for this role you must have the right to work in this location. Responsibilities: • Assist with health technology assessments (HTA) and late-stage clinical trial activities., • esign, analyze, execute, and report on clinical trials, HTA studies, and real-world evidence (RWE) projects., • Research and apply advanced statistical methods, including indirect treatment comparisons (ITC), network meta-analysis (NMA), Bayesian statistics, and other techniques., • Perform complex statistical analyses using tools like R and SAS. Key Skills and Requirements: • A postgraduate degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field., • Experience working in clinical trials, HTA, observational research, or real-world evidence studies., • Proficiency in programming and statistical analysis using R and/or SAS., • Familiarity with HTA principles and statistical methodologies is highly desirable. For more information, please contact Antony Serrecchia. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page. Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - .

Data Scientist – Gambling Sector Location: London (Hybrid / Remote Options) Salary: Competitive salary + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking a Data Scientist with 3–7 years of experience to join a fast-growing technology company operating in the gambling and gaming space. This role is ideal for candidates who are either already experienced in the gambling sector or have a strong interest in applying data science within this industry. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: • Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses, • Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment, • Applying statistical and ML techniques to identify insights from millions of behavioural data points, • Working closely with product and business teams to translate findings into actionable outcomes, • Measuring and improving platform and product performance through experimentation and analytics What We’re Looking For: • 3–7 years’ experience in a Data Scientist or applied analytics role, • Proficiency in SQL and strong programming skills (Python, R, or similar), • Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis, • Ability to manage and deliver data projects independently as well as part of a team, • Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): • Direct experience in the gambling / gaming industry, • Familiarity with cloud platforms (Azure, AWS, or GCP), • Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity to shape projects in a high-impact, scaling business ⚡ Autonomy: Freedom to choose tools and approaches to solve problems 🤝 Culture: Collaborative, agile environment with minimal bureaucracy

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities • Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities., • Calibrate and validate models using a wide range of qualitative and quantitative data sources., • Contribute to building a robust and adaptable loss modelling framework., • Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For • Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils., • Proficiency with geospatial data (climate and Earth observation) and economic damage datasets., • Strong programming skills in Python, R, or a similar language., • Excellent communication skills, able to explain complex concepts to non-technical audiences., • A self-starter who thrives in a fast-paced R&D environment., • Experience in catastrophe modelling, especially around exposure and vulnerability., • Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory., • Knowledge of machine learning applications in climate risk., • Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does not offer sponsorship.

Cutting-edge trading fund operating at the intersection of data science, finance, and technology. Strategies are fully automated and deployed across global markets, leveraging advanced statistical methods, machine learning, and high-frequency execution. As we continue to scale, we’re seeking a sharp, detail-oriented Investment Risk Analyst to strengthen our risk function and help us stay one step ahead in today’s complex markets. The Role As an Investment Risk Analyst, you’ll play a key role in monitoring, analyzing, and managing risk across our portfolio of systematic trading strategies. You’ll work closely with quants, portfolio managers, and developers to ensure that risk is not just a control—but a core input into our decision-making. What You’ll Do • Monitor real-time and end-of-day risk exposures across multiple asset classes and trading strategies, • Analyze and explain PnL drivers, drawdowns, and tail events, • Develop and maintain quantitative risk models (factor, VaR, scenario analysis, stress testing, etc.), • Collaborate with quants and PMs to review model assumptions, position sizing, and leverage constraints, • Design dashboards, alerts, and tools for proactive risk monitoring, • Work with engineering to improve data pipelines and risk infrastructure, • 2–5 years of experience in investment risk, preferably at a quant fund, prop trading firm, or hedge fund, • Strong quantitative background (degree in mathematics, physics, engineering, finance, or related field), • Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines), • Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus), • Familiarity with systematic or algorithmic trading strategies, • High attention to detail, curiosity, and the ability to challenge assumptions constructively

Arthur is delighted to be supporting a broker who are seeking Specialty Pricing Actuaries to join their growing actuarial team. The firm covers multiple lines such as professional liability, credit and surety, political risk, bond, cyber, marine, and energy. You will operate at the intersection of actuarial analysis and strategic capital placement, providing pricing expertise for bespoke and innovative risk transfer solutions. Key Responsibilities • Price specialist classes by building tailored models that reflect unique risk drivers, • Partner with subject-matter experts to design innovative risk transfer mechanisms, • Carry out detailed exposure analysis using proprietary tools, • Price complex facultative and treaty placements across marine, energy, political violence, or trade credit exposures., • Analyse retrocession structures to optimise retained layers and manage syndicated exposures., • Monitor and assess emerging risk trends to refine pricing assumptions., • Work closely with capital markets teams to embed actuarial insights into transactions such as M&A, capital raising, or ILS structuring. Skills required: • Nearly or fully qualified (IoFA), • Strong pricing experience gained in a carrier or brokerage, • Reinsurance pricing experience is preferred, but direct pricing of Specialty lines is considered, • Experience in specialty risk modelling (energy, cyber, political risk, parametric structures)., • Strong programming skills for bespoke modelling (Python, R)., • Ability to simplify and present complex risk analysis to non-technical audiences., • Strategic thinking to align risk pricing with wider capital and advisory objectives.

Consultant – Marketing Effectiveness London - Flexible Working £40,000-£60,000 + Benefits MBN are exclusively supporting several roles for a leading MMM consultancy in the UK. We’re looking for an experienced analytics professional to join a high-performing team focused on helping brands make better decisions around where and how they invest their marketing budgets. If you enjoy working with data, finding patterns, building narratives from numbers, and influencing strategy, this role offers the chance to shape projects from end to end—while mentoring others and growing your own skills in a supportive, fast-moving environment. What You'll Be Doing • Designing and delivering advanced measurement models to assess how commercial and brand activities affect outcomes, • Translating technical findings into clear stories and recommendations for client stakeholders, • Running workstreams and ensuring outputs meet quality standards and timelines, • Coaching and supporting junior team members while continuing to deepen your own subject matter expertise, • Working hands-on with large datasets and contributing to wider innovation efforts within the team What We’re Looking For • 3–5 years of experience in applied analytics, ideally in a role involving commercial strategy or marketing performance, • Comfortable working with statistical tools and programming languages (e.g. R, SQL, EViews, Python), and presenting work using PowerPoint/Excel, • Familiarity with pricing, promotions, media, or campaign planning would be useful, especially if gained in a client-facing environment, • Clear communicator, confident in working directly with senior stakeholders, • Highly organised and able to manage multiple deadlines in parallel Why Join We’re part of a growing international group with strong momentum and a collaborative culture. You’ll find space to develop, a focus on wellbeing, and a team that values both excellence and balance. • Competitive salary + benefits, • Hybrid working model, • Ongoing training and development, • Wellbeing and flexibility initiatives

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: • Designing and building machine learning models to solve real-world problems, • Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment, • Applying statistical and AI techniques to generate actionable insights, • Contributing to experimental research, model prototyping, and A/B testing, • Presenting findings clearly to both technical and non-technical stakeholders, • Collaborating across data science, engineering, and product teams to build scalable solutions, • Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: • A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline, • Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome, • A solid understanding of core machine learning concepts, data wrangling, and model evaluation, • Proficiency with SQL and experience handling large datasets, • A passion for solving complex problems using data and a continuous learning mindset, • Excellent communication and collaboration skills, • Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): • Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch), • Exposure to cloud platforms (AWS, GCP, or Azure), • Experience with experimental design, research methods, or academic publishing, • Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus: £40,000 – £45,000 plus bonus 🏡 Hybrid Working: A flexible mix of office and remote work 📈 Career Growth: Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack: Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture: Be part of a supportive and innovative team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date CV and we will be in touch ASAP to arrange an initial call.

Senior Decision Intelligence Analyst We are seeking a highly motivated Senior Decision Intelligence Analyst to join our strategic advisory team. This is an exciting opportunity to play a pivotal role in shaping business strategy, driving innovation, and delivering data-driven insights that directly influence executive decision-making. The Role As a Senior Decision Intelligence Analyst, you will work closely with senior leaders to tackle complex business challenges, identify growth opportunities, and provide clear, actionable recommendations. You’ll combine market research, financial modelling, and advanced analytics to guide strategic direction, manage high-profile projects, and support key transactions from inception to post-deal integration. Collaboration will be central to your work — partnering across functions, building strong stakeholder relationships, and ensuring initiatives align with organisational priorities. Whether leading a team or contributing as a subject matter expert, you’ll be expected to inspire colleagues, share knowledge, and help deliver outstanding results. What We’re Looking For • Proven experience in analytics, data science, consulting, or research roles (financial services experience highly valued)., • Strong analytical and problem-solving skills, with the ability to translate business issues into practical analytical solutions., • Excellent communication skills, capable of presenting complex findings to non-technical audiences., • Proficiency in data analysis tools and programming languages such as Python, R, or SQL., • Experience with visualisation platforms (Tableau, Power BI) and a talent for storytelling with data., • Knowledge of machine learning, AI, or agile methodologies is advantageous. Why Join Us? This role offers the chance to influence strategic decisions at the highest level, work on high-impact projects, and contribute to an environment where innovation, collaboration, and professional growth are encouraged. You’ll have the opportunity to apply your expertise in a dynamic setting and make a meaningful impact on the future of the organisation.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Join Ripple as a Transactional Attorney, where you will play a crucial role in revolutionizing the global financial system. This outstanding opportunity allows you to work in a dynamic and fast-paced environment, contributing to world-class legal solutions while collaborating with exceptionally talented professionals. WHAT YOU’LL DO: • Draft, review, and negotiate commercial agreements primarily in support of our custody product, • Also provide support for our payments and stablecoins products and trading activities, • Advise on regulatory compliance and risk management, • Motivation to work in a rigorous work environment, • Proven experience in transactional law, preferably in the financial sector Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

About the Company A regulated financial markets firm bringing institutional standards to the rapidly evolving digital assets sector. Key Responsibilities • Lead Quantitative Model Development: Oversee the creation, validation, and optimization of models for pricing Bitcoin index futures and options, ensuring accuracy, scalability, and regulatory compliance., • Risk Management: Develop and refine risk models (e.g., VaR, Expected Shortfall, SPAN) to support trading and clearing operations, collaborating with clearing partners for robust counterparty risk management., • Volatility Surface and Index Computation: Enhance interpolation routines to maintain smooth and accurate volatility surfaces and oversee the computation of digital asset indices using market data from multiple exchanges., • Research and Innovation: Lead research initiatives to extract insights from internal and external market data, contributing to white papers and thought leadership., • Team Leadership: Manage and mentor a team of quantitative analysts, fostering a culture of collaboration, innovation, and analytical rigor., • Cross-Functional Collaboration: Work closely with Compliance, Risk, Operations, and Technology teams to ensure models meet regulatory standards and support high-throughput, low-latency trading systems., • Stakeholder Engagement: Liaise with senior management, clearing counterparties, and regulators to provide insights on model performance, market trends, and risk exposures., • Continuous Improvement: Monitor and refine quantitative computations, implementing auditable manual adjustments when necessary, and stay updated on industry developments in digital asset derivatives. Skills and Qualifications • Educational Background: Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Financial Engineering, Physics, or Computer Science., • Experience:, • 10+ years in quantitative research, with at least 5 years in a leadership role within financial services, preferably in derivatives trading or market infrastructure., • Proven expertise in futures and options pricing, volatility modeling, and curve-fitting techniques., • Experience with digital asset markets or fintech is highly desirable., • Technical Skills:, • Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis., • Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure., • Familiarity with high-performance computing and low-latency systems is a plus., • Regulatory Knowledge: In-depth understanding of financial services regulations, particularly those related to derivatives trading., • Leadership and Communication:, • Exceptional verbal and written communication skills to articulate complex quantitative concepts to non-technical stakeholders., • Proven ability to lead and mentor diverse teams in a fast-paced, global environment., • Personal Attributes:, • Entrepreneurial mindset with a proactive approach to problem-solving., • Ability to manage competing priorities and meet demanding deadlines., • High degree of initiative, attention to detail, and commitment to diversity and inclusion. Interested and qualified candidates please send your resume to . Only shortlisted candidates would be notified.

20Twenty Search is retained by an established ILS Asset Manager to identify an ILS Analyst to join their market leading team. This role will suit a candidate already in the ILS field, or a Catastrophe Modeller with strong reinsurance experience seeking to enter the this market for the first time. This role will focus on the analysis of a variety of Private ILS deals including Quota Share, Retro, Reinsurance and Fronted Reinsurance structures. The incumbent will also have the chance to mentor more junior members of the team thus providing the foundation for a management role in the future if this is an ambition of the individual. Our client will also place high-value on candidates with some programming experience in any combination of SQL / Python / R. This is a London based role and all applicants must have full rights to work in the UK. This role offers excellent basic salary and bonus.

Role Overview We’re seeking a highly motivated Lead Computational Biologist to partner with leading R&D teams in life sciences, applying advanced AI models to solve complex biological challenges. You’ll work at the interface of data science, biology, and product development — helping translate large-scale omics data into actionable insights for discovery and development. In this high-impact, fast-moving role, you’ll prototype with cutting-edge machine learning tools, rapidly moving from concept to insight. You’ll collaborate closely with engineering and product teams to shape and refine innovative solutions that address real-world biological problems. Key Responsibilities • Partner with scientific and technical teams to analyze complex biological datasets (e.g., transcriptomics, single-cell data), • Apply and adapt machine learning models to address problems in discovery and development, • Rapidly prototype and iterate on computational approaches to generate insights, • Communicate findings clearly across technical and non-technical audiences, • Contribute to shaping data products and internal tools Requirements Essential • MSc or PhD in Computational Biology, Bioinformatics, or a related field, • Strong Python programming skills, • Experience working with single cell data, • Familiarity with recent machine learning methods relevant to omics data, • Understanding of modern AI/ML techniques (e.g., model fine-tuning, representation learning), • Strong foundation in computational biology methods, • Ability to clearly articulate scientific findings to diverse stakeholders, • Customer- and product-focused mindset Preferred • Prior experience in industry (biotech, pharma, or related sectors), • Contributions to open-source bioinformatics or computational biology tools, • Exposure to advanced model architectures (e.g., Transformers, sequence models, probabilistic models), • Experience supporting discovery or development projects

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities • Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities., • Calibrate and validate models using a wide range of qualitative and quantitative data sources., • Contribute to building a robust and adaptable loss modelling framework., • Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For • Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils., • Proficiency with geospatial data (climate and Earth observation) and economic damage datasets., • Strong programming skills in Python, R, or a similar language., • Excellent communication skills, able to explain complex concepts to non-technical audiences., • A self-starter who thrives in a fast-paced R&D environment., • Experience in catastrophe modelling, especially around exposure and vulnerability., • Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory., • Knowledge of machine learning applications in climate risk., • Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does not offer sponsorship.

Proclinical is seeking an Associate Director Biostatistics to join a dynamic team in London, UK. This hybrid role offers the opportunity to work on innovative clinical trials in the rare disease space, contributing to the development of groundbreaking therapies. You will collaborate with cross-functional teams, oversee statistical activities, and play a key role in shaping trial designs and data analysis. Responsibilities: • Represent biostatistics in cross-functional team meetings to support clinical development plans., • Collaborate with Clinical Development, Regulatory, and Clinical Operations teams to design clinical trials., • Author statistical sections of clinical trial protocols and analysis plans., • Oversee the design of electronic case report forms (eCRFs) in collaboration with Data Management., • Provide statistical guidance during the conduct of ongoing trials., • Work with Statistical Programmers to summarize and analyze trial data., • Contribute to clinical study reports and regulatory documents such as DSURs and briefing documents., • Represent the organization in meetings with regulators, key opinion leaders, and other stakeholders., • Support the preparation of scientific articles summarizing trial data., • Consult with preclinical and research teams on statistical questions., • Manage CRO statistical and programming support. Key Skills and Requirements: • Advanced degree (PhD or MS) in Biostatistics, Statistics, or a related field., • Proficiency in SAS programming and familiarity with R programming., • Strong written and oral communication skills., • Experience with CDISC standards, including SDTM, ADaM, and CDASH., • Knowledge of ICH GCP guidelines and industry practices., • Experience designing adaptive trials and working through Phase 3 and NDA submissions., • Ability to represent sponsors in regulatory meetings., • Interest in biology and biological processes, including RNAi therapeutics. If you are having difficulty in applying or if you have any questions, please contact Heidi Hennigan at . Apply Now: If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data -

About the Company Our client has an extensive and impressive track record of successfully running Quant trading strategies for over a decade, they spun out as a hedge fund and now operate globally. They are a highly interdisciplinary firm, operating around the intersection of trading, quant modelling and technology. Their trades are facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. About the Role Using the firms automated trading framework to research and apply strategies. Responsibilities • Using progressive statistical approaches to analyse data and ascertain opportunities for trading., • To build upon and develop strong understanding of market structures of the various exchanges and asset classes., • Pre market – checking that all required data and processes are ready., • During market – sporadically monitoring behaviour and performance of strategies. Qualifications • Quantitative background - including Master/ PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills • Programming proficiency with at least one major programming or scripting language (Python, C++, and R)., • Strong communication skills and ability to work well with colleagues across multiple regions., • Ability to perform well under pressure., • Detail orientated.

AI Technical Consultant Permanent | Full-time | Remote-first (UK) An established UK-based Microsoft Cloud partner is seeking a skilled AI Technical Consultant to join their growing team. This is a permanent, full-time opportunity offering flexibility to work remotely with occasional travel to client sites and company events. The Role The AI Technical Consultant will play a key role in helping clients unlock the value of artificial intelligence. Working within an agile team, the consultant will design, implement, and optimise AI solutions tailored to client needs. This includes working closely with stakeholders to understand business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities • Collaborate with clients to identify opportunities for AI-driven innovation., • Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision., • Perform data analysis and preprocessing to prepare datasets for model training., • Deploy AI models into production and monitor performance., • Provide expert advice, training, and support on AI tools and best practices., • Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: • Proven experience delivering AI and machine learning projects., • Strong programming skills in Python, R, or Java., • Hands-on experience with AI frameworks and libraries., • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud., • Strong analytical and problem-solving skills., • Excellent communication and client-facing skills., • Knowledge of design patterns and optimisation techniques for large data solutions., • A degree in Computer Science, Data Science, Statistics, or a related discipline (preferred). What’s on Offer This role comes with a competitive salary and a comprehensive benefits package, which includes: • 25 days holiday., • Remote-first flexibility with home working allowances., • Private healthcare (after qualifying period)., • Enhanced parental pay and leave., • Access to wellbeing support, including 24/7 GP and Employee Assistance Programme., • Additional perks such as cyclescheme, electric car scheme, and employee discounts. The Employer The employer is a leading UK Microsoft Cloud specialist, recognised for its expertise in delivering digital transformation through cloud technologies. With a strong ethical foundation and a commitment to sustainability, the organisation has earned recognition as a top workplace and is dedicated to fostering innovation, diversity, and professional growth. Reach out to Marley Taylor at Tenth Revolution Group for more information:

We are looking for Senior Statistical Programmers in the UK to join Veramed, where you'll deliver high-impact programming solutions in an FSP-style capacity, while advancing your career in a supportive, growth-driven environment. At Veramed, we focus on two key areas: providing exceptional statistical and programming consultancy, and fostering a workplace where our employees can thrive. We’re committed to helping you achieve your unique career goals through tailored development opportunities. Key Responsibilities: As a Senior Statistical Programmer at Veramed, you'll have varied responsibilities and the opportunity to shape your role. Daily tasks may include: Programming: • Program and QC datasets and TFLs following specifications and best practices., • Develop dataset specifications aligned with CDISC data standards., • Participate in internal and client study team meetings., • Mentor junior team members to enhance their development. Daily Interactions: • Communicate with study team members and client contacts., • Share updates internally and in client meetings., • Collaborate with the Veramed team to ensure timely, high-quality deliverables., • Provide mentoring and programming expertise as needed. Opportunities for Growth: • Lead programmer or technical expert roles., • Experience across various therapeutic areas and clinical phases., • Present at industry conferences., • Engage in peer mentoring and/or line management., • Develop innovative solutions for study reporting., • Contribute to B Corp initiatives supporting employees, the environment, and the community. What to Expect: • A warm, collaborative environment for both personal and professional growth., • Supportive management with an open-door policy to guide your development., • Exposure to diverse clients and projects, including collaborations with top pharma companies., • A unique, forward-thinking CRO that prioritizes staff well-being and innovative project management., • The opportunity to take ownership of your role and expand your skills. Beneficial Experience: • Knowledge of the clinical drug development process and relevant disease areas., • Awareness of industry standards and ICH guidelines., • Proficiency in SAS or other statistical software (e.g., R), based on your level of experience., • Strong understanding of CDISC data standards., • Excellent time-management and self-management skills for competing priorities., • Ability to work independently and as part of a collaborative team. If you're passionate about delivering high-quality deliverables, enjoy mentoring, and want to make a real impact at a company that values your contribution, this role is for you. We offer flexible working options (home or office), comprehensive training, and a competitive package. Apply now! As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.

My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in alpha research. Responsibilities • Conduct original quantitative alpha signal research, • Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code, • Evaluate new datasets for alpha potential, • Follow, digest, analyze and improve upon the latest academic research Desirable Candidates • 2+ years of research experience in Equities., • Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline., • Programming in any of the following: Python, C++, or R., • Demonstrated ability to learn and apply new methodologies to alpha generation., • Ability to work both independently and collaboratively within a team.

Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals. We operate through 50 offices (22 in Europe, 23 in the Americas, 3 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you • Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields., • Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance or similar., • Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.)., • Solid academic record., • Strong computer skills., • Knowledge of other languages is desirable., • Get-up-and-go attitude, maturity, responsibility and strong work ethic., • Strong ability to learn quickly., • Able to integrate easily into multidisciplinary teams. What we offer We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: • Working in the highest-profile consulting projects in the industry, • for the largest companies, leaders of their respective markets,, • alongside top industry management as they face challenges at the national and global level,, • as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. Training • Ongoing training plan, with approximately 10% of business turnover spent on training., • Specialist knowledge courses, external expert courses, professional skills courses and language courses., • Last year our staff as a whole received over 330,000 hours of training spanning more than 150 courses. Career plan • Clearly defined career plan., • Internal promotion based solely on merit., • Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners. Complementary activities • University : we maintain a close relationship with the world’s most prestigious universities., • Social Action: we organize more than 30 community support activities., • Sports Club: internal and external tournaments.

Associate Director, Biostatistics (Oncology)- UK (Hybrid) Join a leading global healthcare organization committed to delivering innovative solutions where patient needs are highest. This organization pioneers scientific advancement in under-served and rare disease areas, focusing on life-threatening and life-limiting conditions. With a patient-centric approach, that collaborates closely with healthcare professionals, regulatory bodies, and payers to drive meaningful outcomes across the healthcare ecosystem. The Role As Associate Director, Biostatistics, you will play a key leadership role within cross-functional teams, supporting complex clinical and observational studies and driving statistical excellence across multiple therapeutic areas. You may act as: • Study Statistician, • Medical Affairs Statistician, • Exploratory Statistician, • Regional Statistical Lead, • Lead Product Statistician, • Global Statistical Lead for early or backup assets This role offers the opportunity to contribute to strategy, regulatory and payer submissions, and scientific publications, with a focus on innovation and high-quality deliverables. Key Responsibilities • Deliver best-in-class statistical support to drug development programs and individual studies., • Ensure consistency and quality across statistical deliverables., • Provide strategic input for study designs, biomarker and PK/PD analyses, and data interpretation., • Present results and insights clearly and effectively to stakeholders., • Collaborate in planning and conducting integrated analyses and regulatory submissions., • Contribute to due diligence efforts, methodology development, and internal training., • Participate in cross-functional process improvements and tool validation., • Mentor and support the development of statistical team members., • Represent the organization externally at industry events and with academic or regulatory bodies. About You You are a driven biostatistics professional with strong technical capabilities, clear communication skills, and a collaborative mindset. You are confident working independently on complex challenges and motivated by a mission to improve patient outcomes through data-driven insights. Essential Experience & Skills • Oncology experience essential, • Extensive experience applying statistical methods in biomedical research, pharma, CRO, academia, or healthcare., • Deep knowledge of statistical methodologies and clinical data analysis., • Proficiency in SAS; working knowledge of R is a plus., • Familiarity with data management and programming processes., • Experience in international and cross-functional environments., • Ability to articulate and apply complex statistical methods in real-world applications. Qualifications • PhD or Master’s degree in Biostatistics, Statistics, or a related field. What’s on Offer • Competitive compensation package, • Flexible hybrid working model- (Hybrid – minimum 1 day per quarter onsite), • Opportunity to work on innovative, patient-focused research, • Career growth within a supportive, science-led organization, • Inclusive and collaborative work culture If you're ready to contribute to cutting-edge healthcare innovation and help shape a patient-focused future, then please get in touch with Aimee at

Research Manager – Political & Social - Quantitative Research £50,000 - £60,000 | Hybrid – London | High-Growth Insights Scale-Up Looking for a role where you’ll own your projects end-to-end, work with high-profile clients, and be part of an innovative, fast-growing research team? This position offers the opportunity to combine hands-on quantitative research with client relationship building, in an environment where new ideas and technology play a central role. The Opportunity You’ll join a highly talented and collaborative research team with deep expertise across political, social, and commercial projects. Working alongside colleagues in product, engineering, and commercial teams, you’ll deliver high-impact studies for a range of clients — from NGOs and think tanks to global consumer brands. This role is ideal if you want to take ownership of the full research process, from design to delivery, while helping to shape the evolution of tools, methods, and processes in a modern research environment. What You’ll Be Doing • Managing multiple projects end-to-end, including questionnaire design, survey programming, fieldwork management, analysis, and reporting, • Acting as the main point of contact for clients, keeping them informed, answering queries, and delivering clear, actionable insights, • Designing and interpreting political opinion polls, as well as broader social and commercial research, • Supporting proposal writing and capability presentations for prospective clients, • Mentoring junior team members and contributing to process improvements, • Exploring new approaches and tools, including AI-enabled methods, to enhance research delivery What They’re Looking For • Around four years’ experience in social or political quantitative research, • Skilled in questionnaire design, analysis specification, data table creation, and visualisation, • Experience in political opinion polling and interpreting results, • Strong client communication and stakeholder management skills, • Organised and capable of managing multiple concurrent projects, • Experience with R or Python is an advantage, as is an interest in AI’s role in research Why This Role? • Full ownership of projects from brief to delivery, • Opportunity to work with a diverse and high-profile client base, • Scope to experiment with emerging methodologies and technology, • Join a growing, collaborative team in a scale-up environment with room to make an impact If you want a hands-on, client-facing role where your work influences high-profile decisions and you’re encouraged to innovate, this could be a great next step. Send your CV to Roshni at or via the Apply link on this page.

Selby Jennings have partnered with a leading UK personal lines insurer, currently seeking to appoint a Senior Market Pricing Analyst to join its high-performing pricing function. This role offers the opportunity to shape pricing strategy, enhance market competitiveness, and deliver commercial impact. You'll work closely with actuarial, underwriting, and data science teams to embed predictive modelling and support strategic pricing decisions. About the role: • Build and validate predictive models using GLMs, GBMs, GAMs and other advanced techniques, • Lead price optimisation projects and support deployment into live environments, • Maintain behavioural models and monitor market performance across key segments, • Coach and develop junior analysts, fostering technical growth and commercial awareness, • Present pricing recommendations and insights to senior stakeholders, • Explore new data sources and modelling approaches to improve pricing accuracy, • Manage projects across the full pricing control cycle, • Support senior colleagues and deputise when required Role Requirements: • 3+ years' experience in insurance pricing or analytic roles within personal lines, • Strong programming skills in SAS, Python, R or similar, • Experience with price optimisation and machine learning techniques, • Ability to communicate complex analytic insights to non-technical audiences, • Degree in mathematics, statistics, actuarial science, or related field, • Professional qualifications (Actuarial, CFA, Data Science) are advantageous, • Commercially minded, proactive, and confident in stakeholder engagement Benefits: • Hybrid working policy (office + remote flexibility), • 35+ days annual leave (with buy/sell options), • Private medical and dental insurance, • Group Life Assurance and enhanced pension scheme, • Well being initiatives and mental health support, • Family-friendly policies including enhanced parental leave, • Tech discounts, cycle-to-work scheme, and annual team reward events This is an exciting opportunity to join a forward-thinking insurer in a strategic pricing role, with the chance to influence market outcomes and contribute meaningfully to business performance.

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities • Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets., • Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles., • Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team., • Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement., • Write clean, efficient, well-documented code aligned with team standards for structure, reproducibility, and version control., • Work collaboratively with other Data Scientists to propose ideas, troubleshoot modelling challenges, and refine methodologies., • Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands., • Participate in code reviews and collaborative design sessions to uphold technical quality across the team., • Provide mentorship and support to Junior Data Scientists working on the same or related projects. Experience and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: • Experience working with Python or R in a production or research setting., • Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr)., • Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow., • Experience working with SQL and relational databases., • Ability to explain model behaviour through visualisations and reports., • Familiarity with Git and collaborative development workflows., • Good written and verbal communication; able to contribute to cross-functional discussions., • Proven problem-solving and time management skills. Desirable: • Familiarity with cloud services (e.g. AWS S3, Athena, Lambda)., • Basic understanding of data engineering or ML pipelines., • Knowledge of distributed systems (e.g. Kafka)., • Interest in American sports or the betting industry., • Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment Limited, on LinkedIn to stay updated on current and upcoming job vacancies

Financial Services • Build game-changing forecasting models., • Take the lead in developing complex financial risk models from the ground up., • Hybrid role in London - minimum three days in the office per week. If you’re the kind of data scientist who doesn’t just tweak models but creates them from the ground up, this is your chance to make a real impact. We’re looking for a commercially minded Senior Risk Modeller with a strong data science background to join a forward-thinking team shaping critical financial forecasts. In this role, you’ll take ownership of sophisticated models that help make major business decisions - from residual value forecasting to insurance pricing and economic capital. What you’ll be doing: It’s a role for someone who thrives on building and enhancing models from scratch, who can bridge the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and have a direct hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme. You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated. You’ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business… sound like you? Apply now! What experience you’ll need to apply: • Solid track record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch, • Proficiency with statistical tools and programming languages such as R, Python, or SAS, • Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders, • Strong problem-solving skills, able to design creative and commercially strong modelling solutions, • Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions, • A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline., • Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines, • Desirable: industry experience in sectors such as finance, automotive or similar, and exposure to advanced techniques like machine learning or predictive modelling What you’ll get in return: A salary of up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You’ll be working in the London office, a minimum three days per week and the rest remote. What’s next? Apply with your updated CV, and we’ll review your application as soon as possible to arrange a conversation. For any questions, just drop Tegan an email.

Responsible for complex analysis and designing algorithms for specialized ophthalmic imaging techniques including but not limited to neuro or adaptive optics imaging. Essential: Demonstration of programming experience Matlab, Python; imaging editing GIMP. Develop and maintain an understanding of a r

Senior Statistical Programmer FSP (with R). Senior Statistical Programmer FSP (with R). As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials.

Exceptional analytical and quantitative problem-solving abilities. Masters) in a related quantitative field. Expert proficiency in programming languages used in quantitative finance (Python, R, C++, MATLAB, etc.

We are looking for a passionate, data-driven Sales Development Manager to help accelerate pipeline generation and drive new business growth. Implement and execute professional development programming to enable team members to succeed as Sales Development Representatives and prepare them for future r

Expert in SAS or R programming, including the development and validation of deliverables within a Statistical Programming environment, and the creation of advanced MACROs and/or functions. The Early Development, Associate Director, Statistical Programming , is responsible for all statistical program

Provide supervision on tasks carried out by statistical programmers* Good R language programming skills* Very good knowledge of principles and techniques for clinical research* Good English communication* Good knowledge of MS Office SuiteBSc/MSc or equivalent with experience, preferably in Statistic

While our engineering team is mainly based in Tel Aviv, you'll collaborate closely with this talented group across multiple development teams to build infrastructure, tooling, and standards for infrastructure-related coding across our company's R&D. This role emphasizes research, programming, buildi

Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. Are you looking to benefit from a new career in Programming?. We help place graduates from this programme in top UK companies and organisations needing to emplo

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programmi

The Business and Technology department delivers a broad spectrum of programming courses, and this role is instrumental in helping adult learners build confidence and competence in Python—whether through core programming skills or specialised applications such as machine learning, financial modelli