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Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up to millions of wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Engineer Data Integrity and Traceability. You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.

About the Role: We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to innovative projects across various industries. Whether you're early in your career or looking to transition into AI, we offer full training and a supportive environment to help you grow. Flexible and remote working arrangements are available. Key Responsibilities: Design, develop, and deploy machine learning models to solve real-world problems Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into scalable applications Preprocess and analyze large datasets for use in training and evaluation Monitor, maintain, and improve model performance over time Stay current with the latest research and advancements in machine learning and AI technologies Essential Requirements: Familiarity with data preprocessing techniques and data pipelines Strong analytical and problem-solving skills A degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Awareness of AI ethics, fairness, bias mitigation, and emerging regulations around responsible AI Desirable Skills: Experience with cloud platforms (AWS, GCP, Azure) Knowledge of MLOps practices and tools Familiarity with natural language processing or computer vision Strong foundation in Python and machine learning libraries Understanding of key ML algorithms (e.g., regression, classification, clustering, neural networks) What We Offer: A starting salary of £39,000 with regular performance-based reviews Full training and mentorship to support your development in AI and machine learning Clear career progression paths into senior engineering, research, or leadership roles Flexible working with the option to work remotely part time Access to industry standard tools, cloud platforms, and AI research resources A collaborative and inclusive team culture based in Central London How to Apply: If you're ready to take the next step in your AI career, we'd love to hear from you. Submit your CV and a short cover letter outlining your interest in the role and any relevant experience. Company: Tech Recruitment UK Ltd Level of experience (years): Senior (5+ years of experience)

Posted Wednesday 24 June 2026 at 04:00 Expires Tuesday 14 July 2026 at 03:59 We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data-driven decision-making by developing scalable data models and delivering high-quality insights across the business. The position works cross-functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data. The successful candidate will become a specialist in our modern data stack, including Snowflake, dbt, Looker, and Hightouch, and will contribute to building a robust analytics capability at scale. In This Role You Will Data Modeling & Engineering Build and maintain scalable data models using dbt and Snowflake Transform raw data into clean, reliable datasets for analysis Apply engineering best practices to analytics code to ensure scalability and maintainability Insight & Business Impact Translate data models into actionable insights for stakeholders across product, marketing, and operations Partner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholders Support cross-functional teams by delivering high quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineage Advocate for and uphold data quality and coding standards through code reviews Tools & Technology Utilise Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions Core Competencies for Success Collaborates - Builds strong partnerships across technical and business teams to achieve shared outcomes Drives Results - Consistently delivers high quality outputs in a fast paced, data driven environment Ensures Accountability - Takes ownership of data quality, accuracy, and delivery standards Tech Savvy - Adopts and applies modern data technologies to improve efficiency and scalability Manages Complexity - Analyses complex datasets and translates them into clear, actionable insights Credentials and Experience 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role 2+ years of experience working with product and/or customer data 3+ years of hands on experience writing and optimising SQL for data analysis and transformation Experience using Python, R, or similar tools for data analysis and manipulation 1-3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt) Experience transforming raw data into clean, production ready datasets and maintaining technical documentation Experience working with large scale datasets (e.g., high volume event or behavioural data) Exposure to API integrations and data ingestion processes is desirable Demonstrated ability to work effectively in a remote or distributed team environment Legal right to work in the United Kingdom This role is hybrid based in Bath, UK. As the office is a listed building, we do not have a lift so please make us aware so we can make necessary accommodations. The hiring range for this position is between £35,000 - £39,400 annually, however, base pay offered may vary depending on job related knowledge, skills, experience, and location. Additionally, this position is eligible for an Annual Bonus. Benefits 28 days leave plus UK bank holidays Annual Winter Holiday Break (typically the last week of December) Income protection to support you during long term illness 4x salary Life Assurance Medicash cash back plan Private Medical Insurance Vivup cash back and discounted plan for 1000s of high street stores Cycle to work scheme Paid eye test and money towards glasses Numerous Employee Assistance Programs A social committee that helps us team build and celebrate wins Continuing Education AND Tuition Reimbursement Programs for when you choose to study further in your field as you work Mentorship program and collaboration with veteran leaders Constant opportunities for cross functional training and skill building Uncapped career growth Unlimited LinkedIn Learning Leadership training for people mangers Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the communities we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender, protected veteran status or disabled status or, genetic information.

About Sygnature Discovery At Sygnature Discovery, we create exceptional scientific outcomes. For our customers, who bring life changing medicines to patients; and for our people, who help make this possible. We're 700+ scientists from over 50 countries, working as one across Europe and North America. With no competing internal programs, we offer total confidentiality and commitment. Over the past 20 years, we've earned a track record of real impact: 60+ advanced candidates, 200+ patents filed, 200+ active projects. Over 90% of our customers choose to stay with us - from biotechs racing to clinic to pharma companies that need specialised expertise for targeted challenges. About the role We are looking for an experienced IT professional to join our IT Department here at Sygnature Discovery. As a 2nd Line IT Technician, you will play a vital part in delivering high quality IT support across the business, supporting all aspects of IT technology for end users and computers. You will act as an escalation point for 1st line support, helping to resolve more complex issues whilst providing guidance and mentoring to help develop the wider team's skills and capabilities. This is a full time onsite position based at our headquarters in Nottingham. Role Responsibilities Provide general end user and computer support across scientific and business areas. Conduct rigorous troubleshooting and diagnosis for system issues, implementing effective solutions to maintain operational continuity. Respond to security incidents and investigations as required with leadership from the Security team. Conduct vulnerability scanning and proactive remediation as required with leadership from the Security team. Lead the efficient and robust computer build processes for new hardware. Contribute to end user training via various formats including written guides, video resources and in person training. Create and manage external user accounts required for remote access such as Egnyte cloud file storage collaboration folders, including access controls, folder creation and management of file stores. Oversee and manage users, computers, and groups in Active Directory and Microsoft 365 to ensure secure and efficient access control. Skills & Qualifications Technical training with certification, or relevant experience is required. Experience managing and supporting users and computers in a business setting, Active Directory, Office 365 and a range of operating systems and applications. Good working knowledge of Microsoft and Linux operating systems. Good awareness of IT and data security requirements and best practices. Logical thinking with good prioritisation, analytical and critical thinking skills. CompTIA Core Skill qualifications are desirable. Microsoft Desktop Administrator Associate certification is desirable. Benefits 25 days annual leave (plus bank holidays) Private Medical Insurance Life Insurance Employee Assistance Programme Enhanced Family Friendly Policies Sygnature Group Pension Scheme 1 paid volunteer day per year

Job Profile Description Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS As a Lead Data Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state of the art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud native architectures. Your role will involve hands on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. You will also provide direction and leadership for your team as you solve challenging problems together. Minimum (essential) Requirements A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field. Deep understanding and development of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews, etc). Expertise in data engineering for AI: handling large scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills with the ability to lead client projects and establish requirements in non technical language. Experience managing, coaching, and developing junior members of a team and wider community. Must have active UK Government Security Clearance. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open source AI projects or research publications. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS As a Lead Data Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state of the art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud native architectures. Your role will involve hands on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. You will also provide direction and leadership for your team as you solve challenging problems together. Minimum (essential) Requirements A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills with the ability to lead client projects and establish requirements in non technical language. We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open source AI projects or research publications. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.

Are you excited to apply advanced analytics and machine learning to real world aviation challenges? Would you like to shape best practices and mentor others while remaining hands on with high impact data science work? About the Role As a Principal Data Scientist, you will be a senior individual contributor who brings deep technical expertise while shaping best practices across the data science community. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions. This role combines technical leadership, collaboration, and hands on development to solve complex, real world problems in aviation analytics. Responsibilities Act as a technical authority for advanced analytics, machine learning, and generative AI, defining and evolving best practices for scalable and robust solutions Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics Mentor and coach data scientists, supporting continuous learning and technical excellence Collaborate with product managers, engineers, and domain experts to align data science initiatives with business goals Translate complex technical insights into clear, actionable recommendations for stakeholders Lead by example through hands on coding, modelling, and solution design Design, prototype, and validate innovative approaches to high impact problems Partner with engineering teams to deploy models into production environments Requirements Strong experience working with large, complex, real world datasets, ideally in aviation or related industries Expertise in data wrangling, feature engineering, and building scalable data pipelines Deep expertise in at least one advanced analytics area, with experience across several of the following: predictive modelling on tabular data, deep learning, NLP and large language models, generative AI pipelines, simulations, graph based models, time series forecasting, geospatial modelling, causal inference, reinforcement learning, optimisation, or anomaly detection Proven experience deploying, or partnering to deploy, customer facing machine learning systems into production Ability to collaborate across disciplines and communicate technical concepts to non technical audiences Benefits We are delighted to offer country specific benefits. Click here to access benefits specific to your location. Equal Opportunity We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

About the job We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries. We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production grade moderation pipeline using open source models. This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media processing pipelines, video/audio analysis, OCR, speech to text, embedding generation, vector search, multimodal model integrations, and high throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high performance systems. Responsibilities Backend Architecture & System Ownership Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production ready systems. Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration. Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model serving workflows. Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails. Design high throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content. Build distributed, event driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies. Implement reliable asynchronous processing patterns, including retries, idempotency, dead letter queues, backpressure handling, and fault tolerant job execution. AI/ML Integration & Model Workflows Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows. Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech to text, scene analysis, multimodal inference, batching, caching, and fallback strategies. Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade offs, and safely roll out model upgrades. Model Serving & Performance Optimization Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real time and batch processing paths. Work with model serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization. Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate. Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools. Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search. Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item. Infrastructure, Reliability & Observability Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model serving infrastructure, and monitoring systems. Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident response best practices. Collaboration & Engineering Leadership Collaborate with product, design, data, and ML teams to deliver media rich, AI powered product features. Mentor junior and mid level engineers, support technical planning, review designs, and raise engineering quality across the team. Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices. Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns. Education & Experience Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high throughput backend services. Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations. 3+ years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech to text, scene detection, or multimodal model outputs. Hands on experience creating AI powered processing pipelines for image, video, audio, or text analysis. Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization. Prior experience with vector search, semantic search, media retrieval, or similarity matching systems is strongly preferred. Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows. Technical Skills Strong expertise in Python and/or Node.js with deep understanding of building scalable RESTful APIs and backend architectures. Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow. Strong experience with SQL/NoSQL databases, schema design, and data modeling. Preferred exposure to distributed systems, microservices, asynchronous processing, and event driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub sub systems. Experience deploying production systems on AWS, GCP, or similar cloud platforms. Knowledge of infrastructure patterns (compute, storage, networking, observability). AI/ML Integration Experience orchestrating embedding generation, scene detection, OCR, speech to text, image classification, video analysis, and multimodal model integrations. Experience optimizing inference workflows for latency, throughput, reliability, and cost. Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output length formats, and configuring reasoning related behaviors. Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate. Experience working with model serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred. Experience working with LLM and multi modal evaluation and benchmarking frameworks and domain specific benchmarks with the ability to interpret results and optimize model performance accordingly. System Design & Architecture Preferred understanding of distributed systems, scaling patterns, and performance engineering. Ability to design modular, maintainable, and efficient architectures. Experience with API versioning, modularization, and designing long running workflows. Understanding of performance bottlenecks and low latency backend patterns.

Intelligence Systems Lead Contract: Full-time; two years fixed term, renewable Remuneration: Competitive, based on experience and competence Location: London, UK About the role As the Intelligence Systems Lead, you will create an intelligence platform that integrates our HUMINT network as a critical source of primary insights, complementing our existing data and open-source intelligence (OSINT) capabilities. You will play a pivotal role in shaping our understanding of complex stakeholder relationships, political dynamics, and emerging trends, providing our clients with a unique competitive advantage. This position requires a unique blend of strategic thinking, operational expertise, strong interpersonal skills, and a deep understanding of the African context. You will be responsible for integrating our HUMINT network insights with our existing and expanding OSINT system, creating a unified and powerful intelligence platform that is optimised for executive decision-making. This will include developing our internal capability and overseeing the delivery of the highest quality insights and analysis to clients. Key responsibilities Platform design & development Design and implement a robust intelligence platform across key African countries combining our growing HUMINT, OSINT and data capabilities. Establish clear protocols for source and knowledge management in the intelligence platform, ensuring ethical and legal compliance. Manage and empower the existing insights team to contribute to these activities proactively and in a coordinated and accountable manner. Risk management & compliance Ensure compliance with all relevant legal and ethical standards, including data privacy regulations and human rights principles. Develop and deliver training programs for team members on knowledge management, integrity, security protocols, and ethical considerations. HUMINT/OSINT integration Develop and implement strategies for integrating HUMINT and OSINT data to create a holistic intelligence picture. Identify opportunities to leverage OSINT to validate and enrich HUMINT, and vice versa. Work with the engineering team to ensure seamless data flow and analysis across both HUMINT and OSINT sources. Data quality management Hold accountability for the quality of all data created, used, or managed by the consulting team. Identify and investigate data quality issues, working to resolve them promptly and effectively. Develop and implement data cleansing and correction procedures, as needed. Proactively identify potential data quality risks and develop mitigation strategies. Document data quality issues, resolutions, and processes. Data documentation & metadata management Maintain accurate and up-to-date documentation of data sources, definitions, and processes relevant to your team. Ensure that metadata is properly captured and maintained for all key data assets. Contribute to the development and maintenance of the firm's data catalogue. What we are looking for Experience Minimum 10 years of professional experience in corporate intelligence, forensics, or strategic analysis, with a deep understanding of African political, economic, and stakeholder dynamics. Proven track record acting as a "bridge" or Product Owner between intelligence analysts and technical teams (Data Engineers / Data Scientists) to build, refine, or optimise internal analytical platforms. Experience designing information workflows, specifically turning unstructured text (e.g., HUMINT field reports, OSINT articles, transcripts) into structured, queryable data models. Demonstrated experience leading data-quality initiatives, including designing protocols for manual data cleaning, data annotation, and establishing "ground truth" benchmarks for analytical systems. Technical skills Deep conceptual understanding of how to build data taxonomies, ontologies, and entity-relationship maps so that messy human data can be systematically ingested by a pipeline. Strong theoretical grasp of Natural Language Processing (NLP) and Text Mining. While programming (Python/SQL) is not required, you must speak the language of Data Scientists fluently enough to guide pipeline logic and define extraction rules. Ability to direct and train an intelligence team on how to clean, tag, and format data manually before it feeds into the ingestion pipeline, ensuring data integrity at the source. Experience defining user requirements, mapping analyst workflows, and conducting User Acceptance Testing (UAT) to ensure that the data team's outputs are presented in an intuitive, actionable interface for executive decision-making. Other experience Deep familiarity with the political and business cultures of at least two major African sub-regions (e.g., West Africa, East Africa, Southern Africa). Native or professional fluency in English is required; French, Portuguese, Arabic, or major languages local to key geographies (e.g., Swahili, Hausa) are highly desirable. A flawless track record of operating within ethical and legal boundaries in challenging environments. What we offer We offer the successful candidate an opportunity to develop a rewarding career within a dynamic pan-African consultancy advising a prestigious portfolio of clients and shaping how leaders perceive and react to the world around them. This position offers: Competitive remuneration Immediate opportunities for growth Collaboration with a diverse and experienced team of colleagues

Hiscox Underwriting Group Services Ltd (HUGS) is seeking a Principal Data Scientist to lead complex data science initiatives and transform underwriting capabilities. You will mentor junior data scientists and collaborate with various business functions to maximize value across the insurance value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL.

About Columbia Threadneedle InvestmentsWorking at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.Job DescriptionWhere you'll fit in & what our team goals are This role is a critical enabler of data-driven decision-making across Columbia Threadneedle Investments EMEA, based in London. The position reports to the Vice President of Columbia Analytics and EDAI AI Strategy and is a senior individual contributor role requiring expertise in Asset Management or Financial Services.This role is specifically intended for an experienced analytics professional who has operated within an investment management or broader financial services environment and understands the data, decision-making processes, and regulatory context of the industry. Significant experience partnering with senior stakeholders in Asset Management, Investments, Distribution, Product, Client, and other related functions is essential.The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends on the ability to connect analytical work to real investment, client, and commercial outcomes, and to communicate effectively with non-technical stakeholders who are accountable for those outcomes.Operating within a highly matrixed, global organization, the role requires strong influencing skills and the ability to lead without formal authority. The individual is expected to build durable partnerships across EMEA and global teams, ensuring analytical initiatives are tightly aligned to business priorities, enterprise standards, and the realities of an AM/FS operating environment.This position is designed for a senior practitioner who proactively identifies opportunities where analytics, machine learning, and data capabilities can materially improve decision-making within Asset Management. The role emphasizes problem framing in complex, ambiguous situations, and applying analytical techniques in ways that are practical, relevant, and embedded into existing business processes over time.While the role does not include direct people management, it is supported by a dedicated team of data scientists based in India. The individual provides leadership through clear definition of business problems, prioritization of work aligned to EMEA needs, and close partnership with global analytics resources. Accountability includes end-to-end ownership of analytical initiatives, senior stakeholder engagement, and informal guidance to ensure high-quality, business-relevant outcomes.Overall, this role is suited to a seasoned analytics leader with demonstrated experience in Asset Management or Financial Services, & strong business acumen, and the credibility to operate in a matrix structure. Impact is driven through insight, influence, and domain expertise rather than formal line management.How you'll spend your time Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Provides technical advice and coaching to team members on best practices for usage and application of analytic output.Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance polices and leaders.May lead or provide informal leadership to a team of analytic resources.To be successful in this role you will have Extensive experience in Asset Management or Financial Services.Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes.Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.Proficiency in programming languages such as Python, Sql etc.Experience with Data visualization tools (e.g. Power BI, Tableau)Proven track record of designing and deploying AI solutions at scale.Demonstrated project experience while working with AWS/Azure/SnowflakeProven executive presence communication skills, with the ability to translate complex data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners.Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.Ability to work effectively in a collaborative team environment.If you also had this, it would be great Familiarity with ML Ops practices and tools for model deployment and monitoring.Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc.Experience working in regulated industries or highly matrixed, enterprise environments.Experience modernizing or scaling enterprise experimentation programs and attribution frameworksTrack record of leading analytics organizations through significant transformation or maturity shifts.In-Office CollaborationWe are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.Full-Time/Part-TimeFull timeWorker Sub TypePermanentJob Family GroupDataColumbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.Columbia Threadneedle Investments is an equal opportunity employer. We consider all qualified applicants without regard to racial or ethnic background, religion or belief, sex or gender, nationality, genetic information, age, sexual orientation, gender identity, disability, marital status, pregnancy or maternity or any other basis prohibited by law.We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to aid your participation in the application or interview process, speak to your recruiter to discuss how we can support you.

Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from either our High Wycombe or London offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibits discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact and we will talk to you about how we can support you.

Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.

Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.

Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting edge solutions empower businesses-from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco friendly practices in state of the art, geo diverse facilities. Tether Data: Fueling breakthroughs in AI and peer to peer technology, we reduce infrastructure costs and enhance global communications with cutting edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job The goal of a Product Manager is to bridge the gap between technical capabilities and business objectives, focusing on the technical aspects of product development. They work closely with engineering teams to define product roadmaps, prioritize features based on market research and customer needs, and ensure the successful delivery of technical products and services. In doing so, they manage the product vision, identify and mitigate potential risks, and maintain alignment with overall business requirements. About the challenge In this role, you will lead the vision, strategy, and execution of a GPU accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale - while supporting the growth of the P2P AI ecosystem. We're seeking an experienced Technical Product Manager With a strong bias for action and measurable outcomes - someone who combines deep expertise in AI/ML technologies, cloud infrastructure, and product management with the drive to establish market leadership across strategic verticals. Potentially great fit if you have A strong product led growth mindset who wants to take their career to the next level, and move from contributing to a product area to having full ownership over the building, scaling and success of an entire new product and service lines Experience in the field of AI/ML that goes beyond consumer level and into the core of how modern AI systems behave An understanding of the intricacies of software and hardware to the extent that he/she can actively engage with highly technical stakeholders A team leader who has had close contact with operations and feels capable to work with people in all facets of a product A high agency individual who can actively set internal and external goals, team culture and liaise effectively and directly with executive management and other departments to achieve them Optionally, would be good to have crossed paths with crypto before, either as a user or professional, and can demonstrate a decent understanding of its mechanics Responsibilities Product Vision & Strategy: Define and champion the long term vision for a Cloud Services Platform (CSP) across IaaS, PaaS, and SaaS models. Align product direction with company objectives and industry trends to maintain a competitive edge and deliver sustained value. Ownership and Leadership: Own and manage a comprehensive product roadmap, prioritizing features and enhancements that drive impact. Collaborate closely with engineering and cross functional teams to ensure successful delivery of products and services. Build strong relationships with executives, partners, and industry influencers to foster strategic alliances and advocate for the platform's growth. Customer Centric Focus: Engage directly with engineers, data scientists, and researchers to identify niche market opportunities, maximize value delivery, and ensure seamless product experiences that resonate with technical users. Ecosystem Expansion: Partner with other Tether teams to design and scale a centralized, privacy preserving, and resilient infrastructure layer for P2P networks - strengthening the broader P2P ecosystem. Go To Market Strategy: Independently develop and execute launch plans in coordination with marketing and expansion teams. Drive positioning, messaging, and market entry strategies that establish the platform as a key player in select AI/ML CSP niches. Performance Tracking: Define and monitor KPIs for product engagement, customer satisfaction, and platform performance to ensure continuous optimization and alignment with success metrics. B2B Orientation: Collaborate with enterprise customers to distinguish between users and decision makers, ensuring that both receive tailored value propositions and measurable business outcomes. Qualifications 7+ years of product management experience, with at least 3 years as a technical product manager for AI infrastructure products that include: Building or managing AI platform services involving model training, fine tuning, inference optimization and quantization workflows Direct experience with GPU resource management and ML framework infrastructure (beyond API consumption of foundation models) Experience interacting with cloud platform services, such as AWS, Azure or GCP across their multiple offerings Familiarity with AI specific cloud platform services, such as TogetherAI, ScaleAI, Databricks or AWS SageMaker, at least from a consumer standpoint and strong understanding of underlying technologies Demonstrated understanding of ML model architectures, training dynamics, and optimization techniques Past experience in high growth organizations Proven track record of successful product launches Exceptional leadership, communication, prioritization and team building skills Ability to engage and evangelize a product vision to both highly technical and non technical stakeholders alike Degree in engineering, physical sciences or closely related fields Skilled in defining, tracking, and reporting on product KPIs to measure success Important information for candidates Apply only through our official channels. We do not use third party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: Verify the recruiter's identity. All our recruiters have verified LinkedIn profiles. If you're unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double check email addresses. All communication from us will come from emails ending We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.