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.AVP, Head of Digital Algorithms page is loaded AVP, Head of Digital Algorithmsremote type: Hybrid Workinglocations: London, United Kingdom: Birmingham, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R26\_260With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility(SM).Strategic Analytics is a growing team at Arch that develops innovative analytics, algorithms and AI tools to improve profitability and growth as well as providing deep analytical insight to drive decision making. To be successful, we need to develop powerful algorithms, tools and insights that give Arch a unique, competitive advantage.As Head of Digital Algorithms you will play a crucial role in developing and overseeing algorithmic solutions which support Arch's digital trading capabilities. You will work closely with senior stakeholders in the digital function, business unit teams and within the wider strategic analytics team to design, build and monitor algorithms which underpin digital trading across Arch Insurance's international business. You will work with and direct other data scientists and engineers to build best-in-class digital trading tools which combine creativity, statistical rigor and business context. Key Tasks & Responsibilities Lead day-to-day activities to design new and enhance existing digital trading algorithms Guide, support, mentor and develop the work of a growing team of data scientists who will be supporting the development of digital trading capabilities Work closely with business partners to understand existing approaches to underwriting and pricing and translate these into appropriate digital capabilities Design and oversee the monitoring and continuous improvement of algorithmic performance Discover, explore and analyse internal and external datasets for the purpose of developing appropriate digital trading algorithms Collaborate in cross-functional teams and share ideas to solve complex business problems. Build strong partnerships with peers across the organization to support project goals and execute on the priorities set by the Head of Digital Help establish best practices and repeatable processes around digital algorithm development and maintenance Provide thought leadership on new, innovative techniques, approaches and software Skills Deep knowledge of a broad range of London Market lines of business and trading environment Data manipulation and analytical skills in languages such as Python and SQL. Knowledge of visualization tools such as PowerBI or Sigma is a plus Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential Strong coding practices which support robust algorithmic development and deployment Understanding of a range of pricing approaches as well as knowledge of advanced analytical tools Effective task / project management and general organization skills Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization as well as external partners Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners Natural curiosity to understand the world around you and question as needed Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Ability to apply critical thinking and creative problem-solving skills Experience Experience in advanced analytics roles, a significant portion of which should be in the insurance industry Experience working in an analytical role within a London Market and / or digital environment is an advantage Hands-on experience developing and deploying pricing models and / or trading algorithms in the London Market Experience working closely with non-technical stakeholders, such as underwriting and IT Education Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analyticsIf this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our to share your preferences directly with Arch's Talent Acquisition team.14101 Arch Europe Insurance Services Ltd

Locations: London Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions. KEY RESPONSIBILITIES You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products. Develop Gen AI products to develop scalable high performance enterprise products along with broader squad. Manage a team to deliver Gen AI products. Share expertise and recommendations on alternate approaches & tools to improve product. Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You'll Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years of experience leading a team. Advanced proficiency in Python for data science, engineering & LLMs. Highly curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi agent frameworks/systems and an understanding of multi agent systems and their applications in complex problem solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have. Excellent communication skills, with the ability to explain complex technical concepts to various audiences. Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization. Who You'll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E-Verify Employer. Click here for more information on E-Verify.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 5,700 customers globally, including industry giants like Google, Meta, and OpenAI, to make game changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. About the Role We're looking for an experienced and inspiring Product Data Science Manager to lead a customer facing team within our fast paced Data Labs group. In this role, you will manage and mentor a high performing team of product data scientists while remaining deeply connected to the technical work itself. You'll be responsible for delivering complex, custom insights to some of the biggest names in the market, ensuring both analytical excellence and strong client impact. This is a hands on leadership role that combines people management, technical depth, and cross functional collaboration. You'll set standards, scale best practices, and help shape the future of Similarweb's custom data solutions. What does the day to day of a Product Data Science Manager (Data Labs) at Similarweb look like? Lead, mentor, and develop a team of customer facing data analysts, fostering a culture of ownership, excellence, and continuous learning. Oversee end to end delivery of complex, custom data products - from client scoping and solution design to execution and ongoing delivery. Ensure high analytical and technical standards across the team, including SQL, PySpark, Python, and data validation best practices. Act as an escalation point for complex analytical challenges, providing hands on guidance where needed. Partner closely with Engineering to define scalable infrastructure and productized solutions. Collaborate with Advisory Services and other stakeholders to deliver seamless, high impact client solutions. Drive process improvements, knowledge sharing, and documentation to scale the team's impact and efficiency. Balance client needs, team capacity, and delivery timelines while maintaining a high bar for quality. This is the perfect job for someone who has: Proven experience managing and mentoring data analysts or analytics teams. Strong hands on experience with SQL and PySpark for data analysis - Must. Strong Python scripting experience - Must. Excellent communication skills in English, with the ability to translate complex analysis into clear business insights. Experience working directly with clients and managing stakeholder expectations - Strong Advantage. Background in online marketing, digital services, or tech analytics - Advantage. Demonstrated ability to independently lead complex projects from strategy to execution. A proactive, ownership driven mindset with strong decision making skills. Bachelor's degree in Statistics, Computer Science, Engineering, or a related field - Must. Master's degree - Big Advantage. Why you'll love being a Similarwebber: You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here. Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).

Our world-leading Time & Frequency department seeks an experienced and practicing Senior Scientist / Engineer. This is an exceptional opportunity to join the global authority in precision timing at a defining moment for UK digital infrastructure. Backed by a government investment of £180 million in the National Timing Centre (NTC) programme, we are developing a world first resilient time distribution capability that will provide industry with a robust complement to satellite systems (such as GPS) - which are increasingly vulnerable to disruption from solar storms, jamming and spoofing. This will underpin essential services, including Telecommunications Online banking Emergency response Transport networks Wider digital and data driven operations Together, these services form the backbone of modern society - and your leadership will help ensure they remain secure, reliable and robust even if global navigation satellite systems fail. You'll be joining a renowned team of Scientists and Engineers to develop novel Time and Frequency systems within the UK. Key Responsibilities Leading a team of Scientists and Engineers to deliver high quality project outputs on time, to quality and cost targets. Design and implementation of hardware / software for state of the art Time and Frequency measurement systems including atomic clocks. Collaborating with subject matter experts worldwide to develop novel solutions. Liaising with internal / external stakeholders to determine needs and tailor expert solutions. Attendance of international conferences to keep abreast of the latest developments. This role offers exciting scope to contribute toward other timing related projects (e.g. with the European Space Agency). Reporting to a Principal Scientist, you'll design UK Digital Infrastructure that pushes the boundaries of measurement accuracy for the UK's new resilient Time Scale. Essential Qualifications Experience in Time and Frequency measurement / Time scales. A postgraduate degree or equivalent experience in physics, astronomy or a relevant field of engineering; such as satellite navigation systems (GNSS), SATCOM, communications or systems engineering. Software experience in scientific / engineering application (e.g. Python, LabVIEW or MATLAB). Team management experience. Advantageous Qualifications Postgraduate experience in software development (e.g. Python, LabVIEW or MATLAB). Professional experience within an R&D or engineering environment. Familiarity with using and interfacing electronic equipment with computers, and an interest in lab work. Knowledge and experience of SATCOM, optical fibre, and GNSS based systems. Experience in atmospheric propagation of radio / microwave signals or Space Science systems. We actively recruit citizens of all backgrounds. However, the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Time & Frequency department, you must have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance.

Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.