37 jobs found

About You You're a jack-of-all-trades with a passion for cool technology and interacting with people and making them happy. You're a self-starter who's good at triaging problems and working on the most important one. You've worked directly with customers for a long time and are comfortable being the face of the company to them. One of the things that pleases you most in life is customers successfully using your product, being thrilled with its value, and telling you they're happy they partnered with you. Further, you're a curious person, and you'd love the opportunity to work with a technology team that includes data scientists, algorithm experts, back-end and front-end engineers to expand your knowledge. About Us Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About the Position As a Customer Success Manager, you'll be joining a rapidly growing team that helps our customers increase their revenue by improving the search and product discovery experiences of their websites and mobile apps through integrating with our services. Your specific responsibilities will include: Repaying our customers' trust through ensuring they get live with our product and are thrilled with the results Understand the needs and roles within the enterprise organizations we work with and help to manage prioritizations and misalignments. If two people within a customer ask for different things, your team must understand how to prioritize for the success of the organization without hurting feelings Helping craft and dictate both internal and external narratives for what's needed to make a customer successful Effectively asking for and managing engineering time to ensure important work for customers is prioritized and unimportant requests are resolved with minimal to no engineering resources Fielding and troubleshooting customer support requests Creating and updating customer documentation and training materials as needed Always looking for new ways you can make our integration process more robust and make customers feel even more successful A minimum of three years professional experience dealing directly with customers and large organizations in a role within customer success, technical account management, or solutions consulting Excellent communication and interpersonal skills Know what an API is and have interacted with them before Excellent ability to quickly understand the different roles in an organization, focus on the ones most important to a task, and craft clear narrative to get people behind your ideas Ability to convince and motivate those around you to do what you know is right Enjoy interacting with customers and solving new problems daily Ability and desire to learn quickly, think outside the box, and come up with solutions to problem Located in EMEA Preferably fluent in German A competitive compensation package including stock options Fully remote team - choose where you live Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

About Carda Rehab is a pain. So much so that only 10% of qualifying Cardiac and Pulmonary patients attend. At Carda Health, we've reimagined rehab. Our program allows patients to complete inspiring, convenient, life-saving therapy remotely. Who are we? We are a team of clinicians, data scientists, mathematicians and repeat entrepreneurs. And a few recovering financiers. Our belief is that technology and data, when applied to the right problem, transforms people's lives and changes even the most entrenched industries. Carda was founded by Harry and Andrew, two friends from Wharton who share a family history of heart disease and experience with poor access to care. We now work with some of America's largest and top-ranked hospitals and most innovative insurers. We are fortunate to be backed by some of the best investors in the business who have also backed the likes of Livongo, Hinge, Calm, MDLive, and others. What we're looking for We're looking for a Machine Learning/Data Engineer to lead the development of ML applications and data infrastructure that will accelerate our ability to gather actionable, high-impact insights from complex healthcare data. We're looking for someone who is effective at all levels of the machine learning and data stack, with a track record of delivering applications from the ground up. You'll lead research, prototyping, and deployment of models that risk stratify patients, predict readmissions, surface timely interventions for our clinicians, and more. As one of our early data hires, you'll have significant ownership over architecture and technology decisions and your work will help set the long-term technical vision for all our future data initiatives. In this role, you'll: Build and own our data infrastructure to ingest, store, and process large volumes of healthcare data Build and deploy robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Collaborate with the rest of the engineering team to integrate ML and AI applications into user-facing production systems Continuously monitor, evaluate, and optimize the performance of deployed models to ensure they meet business goals and provide high-quality user experiences Collaborate with product, engineering, clinical, and operations teams to translate business needs into data and ML solutions Implement engineering best practices for CI/CD, automated testing, and model versioning What you bring to the team: 4+ years of ML engineering experience in a professional setting with a proven track record of owning the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, deployment, and production monitoring 2+ years of experience with modern machine learning tools and libraries (scikit-learn, PyTorch, TensorFlow, spaCy, etc) with strong proficiency in Python 2+ years of experience with any of the following fundamental AI technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, LLM orchestration, RAG systems, etc Familiarity with cloud services and MLOps tooling to deploy and scale data and ML workloads cost-effectively Familiarity with data warehouses (Redshift, BigQuery, Snowflake, etc) and best practices around data pipeline tools Strong proficiency in SQL Comfort with ambiguity and short feedback loops A passion for building products that make a real-world impact Bonus if you have: Professional experience with healthcare applications of machine learning, AI, and data engineering Experience working with HIPAA compliant applications and healthcare data (FHIR, HL7, clinical notes, etc.) Previous experience at an early-stage startup

Senior Data Scientist (Machine Learning & Advanced Analytics) page is loaded Senior Data Scientist (Machine Learning & Advanced Analytics)locations: UK, West London, Chiswick: QVCtime type: Full timeposted on: Posted 2 Days Agojob requisition id: R79977Thank you for your interest in joining our team! QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC, HSN, Ballard Designs, Frontgate, Garnet Hill and Grandin Road. We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screen a doorway to discovery, delight and community. The Opportunity Here at QVC UK we are on the search for a Senior Data Scientist to join our growing advanced analytics team, in Chiswick Park, London. Reporting to the VP Advanced Analytics, you will develop models, programming and data engineering. This job is a hybrid working role. Who We Are QVC empowers shoppers with knowledge and shares insights in a lively, engaging way. We offer an ever-changing collection of familiar brands and fresh new products - from home and fashion to beauty, electronics and jewellery - and we connect shoppers to interesting personalities, engaging stories and award-winning customer service.QVC International brings the QVC shopping experience to millions of people in Germany, Austria, Japan, the U.K., Ireland and Italy.QVC International reaches 124 million homes via 10 television networks and reaches millions more via multiple streaming services, websites, mobile apps and social pages. QVC International has team members in the U.K., Germany, Japan, Italy, Poland and China. Your Impact You will develop models, programming & data engineering You'll define new and advanced analysis techniques and approaches You will ensure the stability and quality of our models In cooperation with different internal partners, you will define our requirements and the relevant indicators of success. You will present results and advise the business on the usability of the results Within the introduction of new methods you will take on tasks in the area of change management In cooperation with our IT teams you define requirements for the technology stack You will optimise existing methods, technologies and tools and keep yourself informed about new trends in the market You will help train and onboard new colleagues, less experienced data scientists and engineers What You Bring You will have a Masters degree (PhD preferred) in Applied Mathematics, Physics, Statistics or another quantitative discipline You will have several years of professional experience in data engineering, especially with advanced SQL and big data pipeline skills You'll have over 3 years of experience in machine learning with frameworks (such as Scikit-Learn, Keras, TensorFlow, PyTorch, Mllib) Excellent knowledge of analytical techniques, especially in the field of machine learning and pattern recognition and optimization Experience using Big Data platforms (Spark, Hadoop) for large data volumes You will have knowledge of cloud technology stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI) You should have very good knowledge of at least one scripting language like Python (preferred) or R Knowledge of container platforms, e.g. dockers Business-oriented presentations of complex concepts for a business audience You will simplify workflows and communicate complex statistical concepts in a simple way Disability Confident Scheme QVC UK is a Disability Confident Leader, level 3 accredited employer and operates a Disability Confident Scheme ("DCS"). For any UK based roles, if you'd like to be considered under this scheme, please indicate this on the application form.Our Total Rewards package includes benefits you'll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at for assistance.If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screenWe're an inspired and diverse team that comes together to combine shopping and entertainment for millions of highly discerning shoppers. It's a fun, fast-paced world, and what really sets us apart is our culture and talent experience. Best of all, working with QVC Group means friendly teams, ambitious projects and fast-moving careers!

Company Description With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at the centre of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, we are the flagship Publicis Media agency that uses our 'Power of One' business model, with teams that span multiple disciplines across clients such as Aldi, P&G, P&O Ferries, Primark, Samsung, Stellantis, and Visa. We place a huge focus on our People and have driven flagship D&I and L&D programmes within Publicis Media; our goal is to help every individual reach their fullest potential and we encourage everyone to make "Brave Plays" in how they approach their work and their own career development. As a result, we have an exceptionally energised and committed talent base, all of us proud of our welcoming and supportive culture, as evidenced by our recognition as one of Campaign's Best Places to Work for three years in a row (2021, 2022 and 2023) and most excitingly, Media Week's Agency of the Year 2023! Overview What will you be doing? This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines - skills that are in incredibly high demand. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. Responsibilities As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models. Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness. Power Generative AI: Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines. Champion Data Governance & Ethical AI: Implement best practices for data quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically. Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks. Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements into actionable data strategies. Optimize and Operate: Monitor, troubleshoot, and continuously optimize data pipelines and infrastructure for peak performance and reliability in production environments. What You'll Bring: We are seeking a seasoned professional who is excited by the unique challenges of AI data. Qualifications What are we looking for? Must-Have Skills: Extensive Data Engineering Experience: Proven track record (3+ years) in designing, building, and maintaining large-scale data pipelines and data warehousing solutions. Cloud Platform Mastery: Expert-level proficiency with at least one major cloud provider (GCP-Preffered, AWS, or Azure), including their data, compute, and storage services. Programming Prowess: Strong programming skills in Python and SQL are essential. Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect. ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning. Vector Database Experience: Practical experience working with vector databases (e.g., Pinecone, Milvus, Chroma) for embedding storage and retrieval. Generative AI Familiarity: Understanding of data paradigms for LLMs, RAG architectures, and how data pipelines support fine-tuning or pre-training. MLOps Principles: Familiarity with MLOps best practices for deploying and managing ML models in production. Data Governance & Ethics: Experience implementing data governance frameworks, ensuring data quality, privacy, and compliance, with an awareness of ethical AI considerations. Bonus Points If You Have: Direct experience with Hugging Face ecosystem, PyTorch, or TensorFlow for data preparation in an ML context. Experience with real-time data streaming architectures. Familiarity with containerization (Docker, Kubernetes). Master's or Ph.D. in Computer Science, Data Engineering, or a related quantitative field. Additional Information Starcom has fantastic benefits on offer to all of our employees. In addition to the classics,Pension,Life Assurance, Private Medical and IncomeProtectionPlanswe also offer; WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year. REFLECTION DAYS - Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care. BENEFITS 24/7 helpline to support you on a personal and professional level.Access to remote GPs, mental health support and CBT.Wellbeing content and lifestyle coaching. FAMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones: Maternity. Adoption, Surrogacy and Shared Parental Leave. FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday, from your first day of employment. GREAT LOCAL DISCOUNTS This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre. Full details of ourbenefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out the Publicis Career Pagewhich showcases our Inclusive Benefits and our EAG's (Employee Action Groups).

Join Arctic Shores and help transform how organisations hire in the AI era. At Arctic Shores, we're helping companies create a world of work where potential matters more than experience. In an AI-enabled workplace where skills are evolving fast, we help employers understand what candidates could do - not just what they've done. Our task-based psychometric assessments and business psychology services help organisations like Amazon, Siemens, and Jet2 transform how they hire. We also support employers across the UK in selecting talent for some of the country's most critical and complex roles - from nuclear scientists and pilots to data engineers, graduates, and essential frontline teams. Across every context, our mission is the same: to help employers make fair, evidence-based hiring decisions that focus on what truly predicts success in an AI driven world - learning agility, problem solving, and adaptability. As AI accelerates change in the world of work, hiring transformation has never been more urgent - and that's where you come in. The opportunity: Enterprise Customer Success Manager As we continue to scale across enterprise and mid market clients, we're looking for an Enterprise Customer Success Manager to help our customers adopt modern, data driven hiring approaches - and translate that value into commercial success. Someone who combines strong commercial acumen with empathy, insight and strategic thinking to help organisations adapt their hiring for the AI era. You'll manage a portfolio of our most complex enterprise partners and high growth potential mid market accounts - helping them adopt a behavioural science led approach to hiring across their organisations and achieve measurable ROI. By driving adoption, navigating complex stakeholder landscapes, and influencing at senior levels, you'll ensure Arctic Shores becomes a critical part of how they identify talent for the future. This role is ideal for someone who loves value led consulting and solution design, who enjoys shaping thinking inside large organisations, and who is comfortable driving commercial outcomes through insight, influence, and strong relationship building. Why this role might be a great fit for you At Arctic Shores, we hire for potential - not just experience. We know that skills can be learned, and that diverse perspectives make us stronger. This role may be a great fit for you if you've built your skills in customer success, but also in areas like consulting or professional services, business psychology, account management, sales, strategic HR roles or something different altogether! What matters most is that you bring the transferable skills to drive both customer impact and commercial outcomes. You'll thrive in this role if you: Excel at navigating complex stakeholder landscapes and are great at building alignment, commitment, and momentum across different groups with competing priorities Are a clear, confident communicator comfortable engaging senior stakeholders across Talent Acquisition, HR, and business leadership, using data and insight to influence decisions Are commercially confident and comfortable owning renewals, builing proposals, and spotting/scoping expansion opportunities and keeping up momentum to get projects and deals over the line Can think critically about how to drive adoption of new tools and ways of working across organisations and know how to connect value and adoption to commercial results Love consultative, solution focused work - diagnosing challenges, designing strategic approaches, and communicating impact in a way that resonates with senior leaders Thrive in a fast paced, agile environment where you have ownership and room to think creatively, with experienced subject matter experts to call on for advice Have a genuine interest in psychology, talent strategy, or how organisations make better hiring decisions, even if you're not a subject matter expert yet Get energy from operating in a fast moving, agile environment where you have autonomy and clear accountability for outcomes Care deeply about fairness, inclusivity, and improving the world of work If most or all of that sounds like you even if you're not from a customer success background don't let that stop you applying. Our revenue teams are made up of people who've joined from policing, professional sport, hospitality, HR, academia, and more. If you bring the right commercial mindset, curiosity, and relationship building skill, you'll feel right at home. What you'll actually do As an Enterprise Customer Success Manager, you will: Drive adoption, utilisation, and measurable ROI across a portfolio of enterprise and mid market customers - ensuring they achieve meaningful, sustained outcomes. This is the foundation of your commercial success and a key driver of your NRR and GRR performance. Act as a trusted advisor to senior stakeholders in Talent Acquisition, HR, and the wider business - shaping hiring strategies, influencing decisions with data and insight, and navigating complex organisations to build momentum and alignment. Own renewals and expansion opportunities end to end, using value based conversations, compelling proposals, and strategic negotiation to deliver revenue growth, protect retention, and unlock new areas of impact. Proactively identify risks and opportunities by analysing customer data, usage patterns, and engagement signals - enabling early intervention and strong performance across portfolio health and adoption metrics. Diagnose challenges and design solutions that reduce barriers to adoption, embed behavioural science into hiring processes, and expand Arctic Shores' footprint across customer organisations. Forecast confidently and accurately, maintaining clear visibility of your renewal and expansion pipeline and grounding every projection in tangible evidence of adoption, value, and stakeholder commitment. Create customer advocates, collaborating with Marketing to develop case studies, success stories, and champions that strengthen our presence in the hiring and talent ecosystem - contributing to advocacy and referenceability goals. Work cross functionally with Product, Professional Services, Sales, and the wider GTM team to continuously refine how we deliver and scale customer value - ensuring customer insight shapes product strategy, delivery models, and future growth. Finally, you'll live and breath the Arctic Shores values: Make a difference - We can't change everything. But can contribute to a world of work that's truly fair and inclusive, and do our bit to build a better society. Grow together - We invest in our ability, learn from our setbacks, and always celebrate the people behind our progress. By growing together, we go further. Explore, always - Changing the way the world sees potential takes curiosity, drive, and bravery. With that explorer's spirit, we break new ground. If this sounds like the challenge you've been waiting for, we can't wait to hear from you. Applying for the role In an AI enabled world, transferable skills, learning agility, and adaptability matter as much as - if not more than - experience. If this job description excites you but your background doesn't perfectly match, we'd still love to hear from you. Our hiring process might be a little different to what you've experienced before. Here's what to expect: Take our assessment, which evaluates "skill enablers" - the cognitive and personality traits that show how you're likely to think, learn, and interact at work Answer a few short questions in an asychronous video interview we want to know more about what gets you excited about this role and give you a chance to showcase some of your transferable skills Upload your CV - we need this for contact information and to give us a flavour of your background but really we're less interested in its contents than we are in the answer to your questions and what we learn about your potential from our assessment From there, we'll invite you to a 30 minute coffee chat with our Head of Customer Success or CRO to talk about your ambitions, values, and how you like to work, and to give you a chance to ask any questions before completing our final competency based interview in person where we'll ask you to complete a few short tasks to showcase your skills. Have questions before you apply? Feel free to reach out to Jess, our Head of Customer Success, on LinkedIn. Applications will close at 10am on Monday 1st December. Here's what you'll get at Arctic Shores: Competitive salary ranging from £50k to £55k+ annual bonus 28 days holiday per year, plus public holidays. You'll also get an additional day for every year's service at Arctic Shores, up to four years Private medical and mental health cover, as well as 2 mental wellbeing days each year Aviva pension scheme, offering 3% employer and 5% employee contributions (calculated on full salary) Hybrid working and Core working hours, giving you flexibility to shape work around your life Enhanced Parental Leave Fertility support Company sick pay Training budget Share Options scheme Cycle2Work scheme Length of service awards . click apply for full job details

Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

Risk Analyst - Credit Risk Modelling Team Hybrid in London, United Kingdom The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses. Our impact speaks for itself: we've provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent's leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need - often within minutes. The team The Credit Risk Modelling team builds and improves the models that drive iwoca's lending decisions. They combine data science, engineering, and risk expertise to balance automation with human judgement, and their work supports everything from underwriting and pricing to portfolio monitoring. The team's work is central to iwoca's growth and has a direct impact on both customer outcomes and business performance. The team includes eight data scientists, two developers, and three risk analysts, all working hybrid schedules in London. The team's work is quite collaborative and there's always four or five people in the office on a given day. The team plans objectives for each quarter and manages progress with weekly meetings. They also have standups every other day to share concerns and help each other. The role You'll analyse data and contribute to the development of our credit models for the enhanced underwriting segment. You'll work with analysts, data scientists, and senior stakeholders to shape iwoca's lending strategy. Learn: Build expertise in the credit domain. Develop your analytical skills through exposure to different experimental approaches and complex analysis. Develop commercial influence: Practice turning data into information, and information into insights, so that you and various stakeholders can deliver improvements with real impact for our customers. Work on interesting and impactful projects, for example: Monitoring and refining risk models to improve decision-making and portfolio outcomes Analysing portfolios and tests to investigate credit performance, identify drivers of change, and adapt lending strategies Improving our data, systems, and workflows to strengthen underwriting and monitoring Supporting new product launches and adapting policies to meet investor and regulatory needs The requirements Essential: A quantitative background, such as a degree in mathematics, statistics, economics, engineering, or a related field Ability to analyse data and generate insights to support decisions Ability to evaluate underwriting processes and improve credit models or policies Clear written and verbal communication, with the ability to tailor analysis and recommendations to different audiences A team player, with the ability to work confidently and enthusiastically with different people and teams Bonus: Experience in B2B or B2C credit risk, lending, and strategy Proficiency in SQL and Python Experience with data visualisation tools like Looker The salary We expect to pay from £40,000-£55,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices: We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits: Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack

Overview Cambrex is a leading global contract development and manufacturing organization (CDMO) that provides drug substance, drug product, and analytical services across the entire drug lifecycle. With more than 40 years of experience and a growing team of over 2,000 professionals servicing global clients, Cambrex is a trusted partner in branded and generic markets for API and dosage form development and manufacturing. Your Work Matters. At Cambrex, we strive to build a culture where all colleagues have the opportunity to: engage in work that matters to our customers and the patients they serve learn new skills and enjoy new experiences in an engaging and safe environment strengthen connections with coworkers and the community We're committed to attracting and nurturing a passionate team of valued professionals in our fast-paced and growing company. We offer a competitive benefits package that includes healthcare, life insurance, retirement planning, and more! Your Future Matters. Known for our customer-focused scientific and manufacturing excellence, as well as our strong commitment to quality and safety, we offer a range of career and growth opportunities across our global network of locations. Together with our customers, we aim to improve the quality of life for patients around the world. Start a career where You Matter by applying today! Job Overview Thank you for considering a future opportunity with Cambrex! If you are interested in joining our team but don't see a current role that fits your background, please submit your resume here. If we have future opportunities that match your skillset, we will contact you. While we are not currently hiring for a role linked to this specific posting, we would love to connect with talented individuals who are interested in potential future positions. By joining this talent pipeline, you will be the first to be notified when suitable opportunities arise within our Crystallisation / Solid State Characterization function. Cambrex's Crystallization / Solid State Scientist positions will be on-site in Edinburgh, Scotland. Responsibilities Job Summary The main purpose of the Crystallisation Scientist is to carry out crystallisation scale-up development projects to the highest technical standards, on the Active Pharmaceutical Ingredients (APIs) of SFS clients. These projects will be progressed from multi-gram scale up to kilogram scale, where the process will be technology transferred to full scale manufacturing. Also, to facilitate closure of projects with minimal lead-time, whilst maintaining compliance to quality and safety systems, so that clients can progress development of their product / API. Duties and Responsibilities The Crystallisation Scientist is responsible for the organization and performance of all crystallisation process development projects including characterization of samples generated and provided by clients. The crystallisation scientist is expected to deal with a demanding and unrelenting workload whilst maintaining a high standard of work. As such, they must be well organized and capable of prioritising and responding to a number of deliverables from a range of clients. The Crystallisation Scientist is expected to be competent in the underlying science of process and scale-up crystallisation, having experience of crystallisation pathways such as cooling crystallisation, anti-solvent crystallisation etc. at gram and ideally kg scale. The Crystallisation Scientist is expected to be experienced in using controlled lab reactors (CLRs) in conjunction with heater/chiller units and overhead stirrers to manipulate crystallisation systems to optimise: purities, yields, particle size distributions or any other client specific objectives. A working knowledge of current PAT technology is required, such as Blaze metric, FBRM, Raman and others. This is essential to understand and characterise the crystallisation system and MSZW (metastable zone width) for further optimisation and eventually technology transfer. The Crystallisation Scientist is expected to be competent in a wide variety of analyses using an extensive range of different techniques including specialist areas such as - DVS; XRPD; TG/DTA; DSC and more general areas including spectroscopic and wet chemistry methods. Assist with general analytical support, such as release and stability testing of drug substances and drug products. Able to organize routine work independently and to evaluate, troubleshoot and interpret generated data. Demonstrated understanding of method development and qualification/validation principles. Education, Experience, and Other Qualifications Masters / PhD in chemistry or chemical engineering. 2-5 years of experience preferred. Familiar with working within ISO9001 and/or cGMP quality standards. Experience in working independently and within a team in an R&D environment. Experience with working safely in a lab environment and adhering to local SHE policies. Able to participate in client meetings and discuss technical data clearly and succinctly. Supervision Works under limited supervision. Physical Demands and Travel The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; talk or hear; and smell. The employee is frequently required to sit. The employee is occasionally required to stand; walk and stoop. The employee must be able to regularly lift and/or move up to 10 pounds, and occasionally up to 25 pounds. Specific vision abilities required. Environment and Travel The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts and vibration. The noise level in the work environment is usually very quiet. Travel: Little to no expected travel time. Disclaimer The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required for the position. All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Cambrex is an Equal Opportunity / Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), ancestry, national origin, place of birth, age, marital status, disability/handicap, genetic information, veteran status, or other characteristics protected by federal, state, and/or local law.

Overview Petrofac is a leading international service provider to the energy industry, with a diverse client portfolio including many of the world's leading energy companies. We design, build, manage and maintain infrastructure for our clients. We recruit, reward, and develop our people based on merit regardless of race, nationality, religion, gender, age, sexual orientation, marital status or disability. We value our people and treat everyone who works for or with Petrofac fairly and without discrimination. The world is re-thinking its energy supply and energy security needs; planning for a phased transition to alternative energy sources. We are here to help our clients meet these evolving energy needs. This is an exciting time to join us on this journey. We support flexible working requests and have adopted a hybrid approach for most of our office-based roles. We ask employees to be present in the office at least three days per week. Are you ready to bring the right energy to Petrofac and help us deliver a better future for everyone? Job title JOB TITLE: PRINCIPAL RESERVOIR ENGINEER Key responsibilities Responsible for performing all duties with due regard to the health, safety of self, others and of the environment in which they are undertaken. Overall responsible for reservoir description and modelling, ensuring that models stay current and updated with the latest production, well data and geoscientist interpretation. Ensure reservoir models are fit for purpose to evaluate development options, like infill drilling, changes in exploitation strategy or recovery mechanisms. Review and verify legacy reservoir data and models. Provide technical recommendations on how future reservoir modelling is carried out. Manage reservoir engineering studies conducted by consultants and third-party contractors. Define and implement reservoir management strategy that demonstrably enhance production and optimize resource recovery. Collaborate closely with Production Engineers on production optimization efforts, identification of opportunities for production enhancement and debottlenecking production, leading well by well reviews and contributing with process optimisation efforts. Collaborate within a multidisciplinary subsurface team to assess incremental production and reserves potential of identified opportunities. Provide reservoir and subsurface data to annual field report and reserve reporting process. Support the development team with subsurface and production input for the purposes of CAPEX & OPEX budget and business planning process. Identify key risks and uncertainties associated with development options, quantify their impact and create comprehensive risk assessment with associated mitigation actions. Mobilize to client's office, when appropriate, abroad or in country, to support team and activities. Work with and provide mentor support to personnel as part of Technical Services Contract requirements. Assist asset production team with production forecasting and package uplift planning and scheduling workflow. Deliverables: Reservoir Management Strategy and measure plan to assess its effectiveness. Cost effective Surveillance Plan to reduce uncertainty, mitigate subsurface risks to deliver production plan, improve development strategy and verify reservoir management effectiveness. Production forecasts: short term (3 months), medium term (18 months), long term (5 years) for operational and business planning purposes, as well as Life of field profiles for reserves reporting. Develop and appraise field development opportunities for consideration of the client. Concise reports for reservoir studies, maintaining comprehensive, accessible, and up-to-date records of input and interpreted data. Prepare detailed business cases to support opportunities to increase production and/or add resources. The above is an outline of key duties and accountabilities, rather than an exclusive or exhaustive list of responsibilities, with respect to current projects and Technical Service Contracts with clients. The post holder is expected to undertake any tasks which may reasonably be expected within the scope of this position for new clients. The postholder is expected to adhere to all Legislative requirements the Petrofac 9 Lifesaving Rules and the Petrofac Values. Ensure optimal delivery of budgetary commitments. Identify and act upon any areas of efficiency in a timely manner with a view of delivering cost savings without risk to safety or production. Ability to lead and work in a team, resolving day-to-day issues as they occur. Ability to manage system issues and liaise with external support teams to bring resolutions. Ability to manage multiple work scopes, prioritising and allocating resources as required for the best outcome for the client. Essential qualifications and skills Degree qualified or with significant experience working in the oil and gas industry or similar industry in a similar position. Must be able to demonstrate continuing personal and professional development. Professional membership as applicable supported Interpersonal Strong drive to learn and develop own abilities and able to work independently but seek guidance when needed. Strong personal values and willing to take clear personal accountability for actions. Demonstrated verbal and written communication and presentation skills. This requires the ability to articulate in a clear, concise and constructive manner at the appropriate level for the intended audience. Produces work of accurate and presentable quality in the appropriate formats. Good organizational skills, SMART working methods and can demonstrate personal effectiveness in previous roles. Comfortable working in multidisciplinary and multicultural teams and various parts of the organization and service lines. Self-motivated and able to deliver in a goal orientated working environment. Skills & Attributes Activity planning, budgeting, and cost management. Setting priorities and developing integrated project scopes from multiple inputs from the conception Engineering Skills Excellent knowledge of geomodelling and reservoir simulation packages. Ability to frame and solve engineering problems with appropriate, innovative solutions. Working knowledge of the theoretical and practical aspects of production engineering and well servicing. Knowledge of sand face and upper completion design; sand control (e.g. OHGP) / Cased and perforated / standard, artificial lift completions etc. Knowledge of well intervention equipment and well services operations. Communication Skills Ability to engage with multidisciplinary teams to explain complex technical issues in a clear manner, to support operational and project management decisions. Able to produce high quality written work and formal presentations which match identified requirements. Ability to communicate formally and informally with a wide range of people. Teamwork Ability to work effectively within a team environment. Builds strong constructive working relationships with a wide range of people both within the local organization and externally. Effectively and openly shares information with the wider organization in support of the overall business goals. Delivery Can demonstrate examples of delivering high quality work, both as an individual and working with a team. Able to manage priorities and seek support when required. Experience Few years of experience in similar roles

London, United Kingdom Posted on 01/10/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Job Summary The Senior Data Scientist will play a key role in transforming unstructured and large-scale data into actionable insights through advanced algorithms and innovative data models. This position is central to developing strategies that improve service delivery, optimize products, and drive data-informed decision-making using cutting-edge machine learning tools and techniques. Key Responsibilities Design and implement advanced machine learning algorithms usingTensorFlowandPyTorchto extract insights from large datasets, delivering analytical reports tailored to stakeholders' needs. Develop and optimize data models usingPythonandSQLto solve complex organizational challenges and support effective data integration and management. Analyze and mine large datasets to identify trends, patterns, and anomalies, providing actionable recommendations based on experimental results and advanced analytics techniques. Collaborate with cross-functional teams to identify opportunities for leveraging data insights in creating strategic business solutions that enhance efficiency and product performance. Produce clear, comprehensive visualizations and reports to communicate findings effectively, enabling informed decision-making across stakeholders. Skills & Experience Strong knowledge of machine learning principles and experience with algorithms usingTensorFlowandPyTorch. Proficiency inPythonfor data analysis, model development, and deployment. Solid understanding ofSQLfor data manipulation and querying large databases. Demonstrated expertise in advanced analytics techniques for interpreting complex datasets. Excellent collaboration and communication skills, with the ability to convey technical insights to both technical and non-technical audiences. Preferred Certifications (Optional) Certified Data Scientist (CDS) TensorFlow Developer Certificate Professional Data Engineer Certification

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we're not just building lab informatics solutions. We're creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It's about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We're a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you'll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We're proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. About the role We are looking for an experienced solutions architect who is confident working in Life Sciences to successfully design and implement our solution to the delight of customers. Deep knowledge of LIMS, ELN and SDMS products and their application within the laboratory setting is essential for success with a goal of becoming an expert in the configuration and deployment of Sapio Sciences products. The use of this knowledge will be used to design each customer's solution, working closely with our Application Engineers to ensure high-quality implementation. What you'll be doing Platform and Product Expertise: Stay up to date with new platform enhancements and functionalities, ensuring they allocate sufficient time for adequate training and learning to leverage these updates. Develop and maintain a deep understanding of Sapio Sciences' products and services. Solution Design and Deployment: Collaborate with the Sapio Sciences team, including the Scientific Business Analyst, to understand customer requirements and processes. Design and deploy solutions using an agile approach, ensuring deliverables are met within time, budget, and quality parameters. Advise customers on best practices to optimize deployment success. JIRA Management: Utilize JIRA to track project progress, manage tasks, and monitor team capacity. Ensure that tickets are properly estimated, assigned, and updated to reflect the latest project status. Task Estimation and Capacity Planning: Accurately estimate tasks and resource requirements to support project planning and effective capacity management. Collaborate with project managers to ensure workloads are balanced across the team. Assist the Sales team by providing preliminary task estimates for projects or RFPs. Time Management and Prioritization: Effectively manage the complexities of working on multiple projects simultaneously. Prioritise tasks, delegate appropriately and ensure that each project is progressing according to schedule. Maintain clear visibility on all active projects and adjust priorities as necessary to meet organizational and customer demands. Delegation and Team Collaboration: Design solutions and delegate tasks effectively to application engineers, providing clear guidance and technical direction. Ensure that team members understand their roles and have the necessary support to succeed. Customer Support and Engagement: Provide third-tier support post-implementation, act as a liaison between the product team and customers to ensure functionality meets customer needs and drive the Sapio Sciences agile deployment methodology. Document customer feedback and address issues to enhance the customer experience and project success. Project and Process Management: Support Project Managers in delivering customer projects and ensure, as a Solutions Architect, that you follow agreed-upon processes and best practices and oversee proper time tracking and management. Maintain meticulous documentation of all Solution Architect-related deployment services. Clear and Constructive Communication: Foster an environment of open, transparent communication, ensuring that feedback is always constructive and aimed at improving collaboration, performance, and solution outcomes. Maintain clear and positive interactions with both internal teams and external stakeholders to ensure alignment and enhance the overall project experience. What we are looking for Travel Requirements: Willingness to travel to customer sites up to 30% of the time. Several years of experience in designing and delivering solutions for LIMS, ELN, or other complex software in a customer-facing role. Proven experience leading technical implementations. Tertiary qualification in Computer Science or a minimum of 2 years' experience in software delivery. Required skills & capabilities Strong programming skills with detailed knowledge of Java or Python Knowledge of one or more of GWT, MySQL, Oracle, Tomcat, Linux, AWS Technical Lead on LIMS/ELN implementations or other complex software within Life Sciences. What We Offer At Sapio Sciences, we recognise that our people are our greatest strength. That's why we're proud to offer: A competitive salary and benefits package Flexibility to work remotely, with opportunities to travel A comprehensive onboarding and training programme Ongoing opportunities for professional growth and development A collaborative, inclusive and supportive work environment Sapio Sciences is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values-what we proudly call The Sapio Seven, aka EMBRACE: - Embrace the future - Make a difference - Be true partners - Remember why we're here - Act with empathy - Commit to transparency - Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals.

SymphonyAI is an enterprise artificial intelligence (AI) SaaS company that delivers significant benefits to customers in specific industries by transforming existing business processes and enabling new insights, innovation, revenue acceleration, and cost optimization. We are excited to welcome an innovative and results-driven Head of IT Infrastructure to our team. The Head of IT Infrastructure leads the Engineering, Network, and Data Centre teams while overseeing global identity, collaboration, and cloud services. This role is accountable for managing multiple Azure AD tenants, driving identity management and consolidation initiatives, and ensuring the resilience and scalability of the company's infrastructure. The position also oversees office technology setup, relocation, and decommissioning projects worldwide. With a globally dispersed team, this role combines operational excellence with a strong focus on modernization-including driving the adoption of automation and AI to increase efficiency, reduce risk, and enable smarter infrastructure operations. Job Description Leadership & Strategy Lead and manage globally dispersed Engineering, Network, and Data Centre teams. Define and deliver the enterprise infrastructure roadmap across on-premises, Azure cloud, and hybrid environments. Drive modernization, automation, and AI adoption to transform infrastructure operations. Align infrastructure, identity, and collaboration strategy with business priorities and user productivity. Identity, Collaboration & Cloud Management >Manage multiple Azure AD tenants, leading identity governance, access control, and consolidation programs. Provide technical and strategic leadership for the Microsoft 365 suite. Oversee cloud (Azure, GCP, OCI) and cloud workloads (compute, storage, networking, monitoring, security) and ensure seamless hybrid integration. Ensure secure, resilient, and scalable collaboration across global systems. Operational Excellence & Workplace Technology Ensure global availability, performance, and resilience of networks, data centres, cloud services, and O365 platforms. Manage office technology setup, relocations, and decommissioning, ensuring smooth transitions with minimal business impact. Oversee capacity planning, lifecycle management, and global disaster recovery/business continuity planning. Security & Compliance Partner with Information Security to enforce compliance with ISO, SOC2, GDPR, and other global standards. Apply robust governance and security policies across identity, cloud, and collaboration platforms. Regularly test DR, backup, and resilience strategies across infrastructure and O365 workloads. People & Vendor Management Lead, mentor, and inspire a globally dispersed team of engineers, network, and identity specialists. Build a culture of accountability, innovation, and continuous improvement. Manage vendor relationships, contracts, and SLAs for infrastructure, O365, and cloud services. Oversee budgets, licensing, and cost optimization across data centre, cloud, and collaboration platforms. Qualifications & Experience 10+ years in IT infrastructure leadership, including managing global teams. Strong expertise in Microsoft 365 (O365) applications and services. Proven experience in Azure AD tenant management, identity governance, and consolidation. Strong knowledge of Azure cloud services, hybrid IT, enterprise networking, and modern data centre operations. Experience leading automation and AI adoption initiatives within IT infrastructure. Background in office technology setup, relocations, and decommissioning projects. Familiarity with ITIL/ITSM frameworks and infrastructure automation. Excellent leadership, communication, and stakeholder engagement skills. Key Competencies Strategic thinker with strong technical and operational credibility. Effective global leader able to manage diverse, dispersed teams across regions. Commercially astute with experience managing budgets. Innovation-driven, with a focus on automation, AI, security, and resilience. About Us SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth verticals, including retail, consumer packaged goods, financial services, manufacturing, media, and business IT. SymphonyAI's verticals have many leading enterprises as clients. Since its founding in 2017, SymphonyAI has grown rapidly to 2,000 talented leaders, data scientists, and other professionals across 33 countries. SymphonyAI is an SAIGroup company, backed by a $1 billion commitment from Dr. Romesh Wadhwani, a successful entrepreneur and philanthropist. Visit here, for more information about how we hire, what's in it for you, our culture and values.