Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Vp Data Science

Starr Underwriting
London
1 month ago
Applications closed

Related Jobs

View all jobs

Technical Business and Data Analyst - VP

Engineering Manager – Machine Learning & Data Science

Engineering Lead Manager, Data Science

Senior Data Scientist

Data Scientist - Category Management

Machine Learning Scientist

Tokio Marine Kiln is searching for an IT Vice President – Integrated Data Products. This role will be employed by Tokio Marine Kiln but will support and report into another Tokio Marine Group subsidiary based in the US, Tokio Marine North America Services (TMNAS). We are looking for a dynamic leader to run its newly created Integrated Data Products function. The role will report to the Chief Technology Officer and will oversee the Data Engineering, Data Governance & Data Science functions. This role is pivotal to the organization and will focus on creating an advanced business data platform to support our Group Companies in creating modern data products and services, and implementing emerging technologies at scale. This role will be remote, based in the UK, with occasional travel to the US and London office. Corroborate and execute a comprehensive data strategy aligned with the organization's business objectives. # Oversee data governance initiatives to ensure compliance with industry regulations and data security standards, in conjunction with TMNAS America supported Group Companies. # Collaborate with executive leadership to identify opportunities for data monetization, advanced insights, and enhanced decision-making. # Lead Data Engineering and Data Science functions to successful outcomes, integrating disparate data systems into the Modern Data Platform. # Evaluate and implement cutting-edge technologies supporting advanced analytics, AI/ML capabilities, and data visualization. # Work with IT and operations teams to optimize data pipelines, storage, and processing frameworks for real-time and predictive insights. # Partner with actuarial, marketing, claims, and product teams to leverage data for innovative insurance offerings and pricing strategies. # Monitor KPIs to assess the impact of data initiatives on business performance. # Foster a culture of innovation, collaboration, and continuous learning within the data organization. # Build and lead a high-performing team of data scientists, analysts, and engineers. # Act as a liaison between data teams and business units, ensuring alignment. The ideal candidate will have a strong understanding of modern data platforms such as Snowflake, Databricks & Fabric. Knowledge of data integration, data as a service, business process management, and application of data in creating advanced data products is required. The candidate will manage a high-profile, motivated team in a hybrid setting, articulating complex technological concepts in business terms and building strong relationships with business leaders, systems integrators, and partners. TMNAS provides professional support services to Tokio Marine Group companies in the US, including Tokio Marine America, First Insurance Company of Hawaii, and Philadelphia Insurance Companies. Our focus is customer service, adding value through actuarial, audit, corporate communications, financial and investment, human capital, IT, legal, and payroll services. We are committed to a safe, inclusive, and empowering environment, offering flexible working arrangements and supporting diversity and inclusion initiatives. Our culture is founded on empowerment, inclusion, excellence, integrity, teamwork, and innovation. We encourage applications from diverse talent pools and offer development opportunities.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.