Graduate Data Scientist

Databricks

ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location:  London, United Kingdom - Hybrid Skills: Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team) The impact you will have: * Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services. * Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples. * Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. * Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for: * Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering.  Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment. * Pre-sales or post-sales experience working with external clients across a variety of industry markets Data Science/ML Skills * Hands-on industry ML experience in at least one of the following: * ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring * Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Hands-on experience working with Distributed Spark based systems. * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving our values through ML * [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Relation Therapeutics

Location: London Relation Therapeutics is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies that will treat some of life's most devastating diseases. We leverage single-cell and multi-omics measurements directly from patient tissue, functional assays, and machine learning to drive disease understanding — from cause to cure. Our medicines are born from high-resolution biology, machine learning, and clinical insights. At the heart of our discovery engine is our Lab-in-the-Loop, which seamlessly integrates single-cell analysis, genomics, and machine learning. This powerful technology allows us to identify druggable targets and develop transformational medicines. Interdisciplinary collaboration. Immense impact. Led by experienced drug developers, computational scientists, and entrepreneurs with backgrounds in biotech, pharma, venture, and academic research, we are driven by a shared hunger to transform drug development — because the patient is waiting. The opportunity As the Head of Data Strategy, you will play a pivotal role in shaping and executing the company’s data strategy, ensuring that Relation can leverage the full value of its data assets. This is a unique opportunity to lead the charge in building and governing the data foundations that will fuel the next generation of drug discovery at Relation. * Develop, implement, and oversee a comprehensive data strategy that positions data as a critical and compounding asset for Relation's research and business initiatives. This will include every aspect of data management, governance and acquisition and will involve working closely with the VPs of Engineering and Data Science and the CTO. * Lead the acquisition, integration, and governance of high-quality datasets from diverse sources, including open-access platforms, biobanks, proprietary studies, and external partnerships. * Ensure the highest standards of data quality, security, and compliance with relevant regulatory frameworks. * Collaborate closely with teams across the organisation, including Data Science, Machine Learning, Computational Biology, Bioinformatics, and our Wet Lab teams, to ensure data is accessible, standardised, and optimised for scientific discovery and innovation. * Guide the creation of data systems that support scalable and efficient data operations. * Drive external relationships with academic consortia, data providers, and industry partners to continuously expand Relation’s data ecosystem. Your Responsibilities * Data Strategy: Define and execute Relation’s data strategy in partnership with key stakeholders, ensuring that Relation’s data is a compounding asset that supports all aspects of drug discovery, research and development. * Data Management: Create and maintain data catalogues, define data standards and ontologies, and ensure proper metadata and data lineage tracking. * Data infrastructure: Work closely with the VP Engineering to guide the development of a robust data infrastructure in a rapidly scaling TechBio * Collaboration: Work closely with interdisciplinary teams, such as machine learning engineers, bioinformaticians, and scientists, to ensure data is ready for use in research and drug discovery. * Data Acquisition: Procure and integrate external datasets (e.g. UK Biobank, public databases) and manage data partnerships to enrich Relation's data ecosystem. * Governance: Implement data governance policies that ensure responsible, secure, and compliant data usage, aligning with evolving regulatory requirements. * Quality Assurance: Lead data curation efforts, ensuring the quality and integrity of data assets across multiple domains including omics, imaging, and clinical data. * Team Leadership: Build and manage a high-performing data strategy, governance and acquisition team, fostering a culture of excellence and continuous improvement. Professionally, you have: * A graduate degree in Bioinformatics, Computer Science, Computational Biology, or a related field (PhD preferred). * Demonstrated success in leading data strategy, including planning and execution in a matrix environment * Extensive experience with data strategy, management and acquisition in the life sciences, preferably including working with large biobanks and public databases. (7 years + experience) * Familiarity with data management, storage and processing tools and cloud-based data management platforms * Ideally, fluency in writing functioning code for a variety of tasks (such as data pipelines), including the skilled use of modern coding agents. Basic knowledge of computer science concepts sufficient to understand important concepts including latency, throughput, bottlenecks, race conditions etc. * Experience of acquisition, curation, and quality assurance efforts in research or drug discovery or a similar regulated setting * Deep understanding of various data types and ontologies, including -omics, imaging, and clinical data. * Proven experience with data governance frameworks and ensuring compliance with data protection regulations. * Ability to lead cross-functional initiatives and manage stakeholder relationships across a wide range of scientific and technical disciplines. * Experience working with machine learning teams and an understanding of data needs for model development. * Experience with large-scale data integration efforts, biobanks like UK Biobank, or databases such as dbGaP. * Knowledge of FAIR data principles and experience implementing data governance strategies in compliance with industry standards. Personally, you are: * collaborative team player with a strong desire to drive impact. * an excellent communicator and are comfortable presenting complex data strategies to both technical and non-technical stakeholders. * detail-oriented, curious, and passionate about using data to drive scientific innovation. * Comfortable and thrive in fast-paced, dynamic environments * Driven by impact, motivated and curious * Humble and hungry to learn and have a strong sense of accountability * Passionate about making a difference in patients’ lives WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting!   RECRUITMENT AGENCIES Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.

PhysicsX

ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. WHO WE’RE LOOKING FOR You are a problem solver and builder, passionate about creating practical solutions that help customers make better engineering decisions. You can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers, often on-site, to develop high-fidelity simulation models that feed into AI tools that are both useful and used. You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM. You are highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, and experienced with DEM codes such as EDEM, LIGGGHTS, or Rocky. You are adept at automating these tools to create scalable optimisation workflows. Experience in parametric CAD modelling (NX or CATIA) and coding in Python (or the ability to pick up new programming languages quickly) is an advantage. With 3–5 years of industry experience (post-MEng, MSc, or PhD) in a commercial, non-research environment, you are ready to hit the ground running. You are confident setting up simulations independently, interpreting complex results with rigour, and making sound decisions grounded in solid engineering judgement.   WHAT YOU'LL DO * Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes. * Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies. * Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces. * Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines. * Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost. * Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale. * Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models. * Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth. * Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together.   WHAT WE'RE LOOKING FOR CORE SIMULATION SKILLS * Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models * DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent * Coupled CFD–DEM workflows for particle–fluid systems * Heat and mass transfer modelling * Reacting flows and phase-change processes (advantageous) * Proficiency in Star-CCM+, OpenFOAM, or Fluent ENGINEERING AND WORKFLOW * 3–5 years post-graduate experience in industry (not research) * MEng, MSc, or PhD in mechanical, chemical, or process engineering * Python scripting and simulation automation * DoE, surrogate modelling, and design space exploration * Parametric CAD modelling (NX or CATIA advantageous) * Strong written and verbal communication with technical and non-technical audiences Please note, this role is based in London, working 2-3 days per week in our central office.   OUR DELIVERY TEAMS DRIVE INNOVATION TO TURN AI MODELS INTO PRACTICAL SOLUTIONS - READ OUR BLOG TO LEARN MORE ABOUT HOW YOU’LL CONTRIBUTE TO THIS EXCITING JOURNEY!   WHAT WE OFFER Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow…   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.