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  "job_description": "Data Scientist - 3 days per week in Hounslow - Market rates - Inside IR35\n\nMy client is a global leading IT consultancy. They are on the hunt for a true data scientists with optimisation expertise or experience.\n\nPurpose: This role is responsible for developing industrialised optimisation and machine learning models as part of a full-stack product squad that delivers operations decision-support software.\n\nOperational research and optimisation experience is a must have.\n\nSkills/capabilities\n• Strong knowledge of either machine learning and optimisation techniques, incl. supervised (regression, tree methods, etc.), unsupervised (clustering) learning, and operations research (linear, mixed integer programming, heuristics)\n• Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobi etc.) to solve real-life problems and visualise the outcomes (e.g. seaborn)\n• Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g. MLflow)\n• Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have\n• Experience in code testing (unit, integration, end-to-end tests)\n• Strong data engineering skills in SQL and Python\n• Proficient in use of Microsoft Office, including advanced Excel and PowerPoint Skills\n• Advanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights\n• Understanding of the trade-offs of different data science, machine learning, and optimisation approaches, and ability to intelligently select which are the best candidates to solve a particular business problem\n• Able to structure business and technical problems, identify trade-offs, and propose solutions\n• Communication of advanced technical concepts to audiences with varying levels of technical skills\n• Managing priorities and timelines to deliver features in a timely manner that meet business requirements\n\nQualifications/experience\n• Master's degree or greater in data science, ML, or operational research, or 2+ years of highly relevant industry experience (required)\n• 0-2 years working on production ML or optimisation software products at scale (required)\n• Experience in developing industrialised software, especially data science or machine learning software products (preferred)\n• Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred)\n\nThis temporary contract is inside IR35 and will require working under the direction of the client delivery manager as part of a multi-disciplinary team. The successful candidate will follow established delivery processes and working practices.\n\nData Scientist - 3 days per week in Hounslow - Market rates - Inside IR35\n\nDamia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.\n\nPlease note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.\n\nShould the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.\n\nDamia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.",
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