Who are we looking for? You enjoy working on complexdata problems whilst being able to suggest simple (yet effective)solutions. You are comfortable working with uncertainty and like tomake things clearer. You’re passionate about technology and keep upas it evolves. You focus on the future and thrive most when solvingproblems. Clients love working with you. You are honest and dothings when you say you will, you also know how to explain thingsclearly and concisely. You can educate and inspire. You’ve got abackground in data science, machine learning algorithms, and dataengineering along with their technologies. You’re equallycomfortable presenting to clients, providing advice, or buildingprototypes. You’re a collaborator and enjoy stepping out of yourrole from time to time, whether it’s to support your clients,colleagues, or to learn something new. What might you be doing? -Leading client projects and providing subject matter expertise. -Working in scrum-like environments for iterative and ‘fail-fast’work and innovation. - Assessing your clients’ business andtechnical needs with the ability to identify opportunities for datascience to be used and managing clients’ stakeholders’relationships appropriately. - Solving problems using data sciencetechniques and in a scientifically robust fashion. - Identifyingdata sources that are relevant to client needs, and related datascience concepts that leverage those sources to aid the client. -Working with various forms of data (e.g., unstructured,semi-structured, or structured; text, time-series, or image) andsuitably modelling them (e.g., table, key-value pair, graph) forefficient data science use. - Investigating and analysing data tosee ‘the wood from the trees’ and drilling down to the ‘whys’ ofthe data. - Applying statistical and evidence-based techniques toinform insights and actions from the data. - Communicatingtechnical content at the right level both internally and tocustomers. - Presenting to the client, using data science toolingand investigation, a ‘story’ of the data. - Building maintainablecode that uses existing data science libraries, implements existingdata science techniques, or implements novel techniques. -Designing, evaluating, and implementing on-premise, cloud-based,and hybrid data science and machine learning techniques andalgorithms (including providing relevant review and guidance ontesting aspects, identification of risks, and proposing andimplementing their mitigations). - Developing scalable models andalgorithms that can be deployed into production environments. -Applying ethical principles in handling data. - Accuratelydelivering high-quality work to agreed timelines and taking theinitiative and knowing how to jump straight in. - Supporting clientengagements, including pitches and presentations. - Helping tosupport & grow Daintta by actively inputting into the companystrategy and helping to shape our future. - Representing us and ourcore values: transparent, fair, and daring. Sounds like somethingyou’d enjoy? Here’s a bit more about you: - You have 5+ years ofdegree-level industry experience in data science. - You haveextensive degree-level experience in a STEM subject. - You haveexperience of working in a consultancy, engineering, or dataindustry. - You have led client delivery across a range ofprojects, including data science, data engineering, data security,and proven experience in relevant technologies (e.g., Pythonapplied to data science). - You have experience working oncloud-based infrastructure (e.g., AWS, Azure, GCP). - You havedemonstrable continuous personal development. - You have stronginterpersonal skills. - You have experience with using CI/CDtooling to analyse, build, test, and deploy your code and provenexperience in their technologies. - You have experience in databasetechnologies (e.g., SQL, NoSQL such as Elasticsearch and Graphdatabases). - You have a good understanding of coding bestpractices and design patterns and experience with code and dataversioning, dependency management, code quality and optimisation,error handling, logging, monitoring, validation, and alerting.Location? Hybrid, with 2-3 days working from Daintta office (Londonor Cheltenham) or on client site as required. What’s in it for you?You will be joining the company at Daintta "Manager" grade. Inaddition to being rewarded fairly for your contribution to thebusiness, you get to work in a dynamic organisation that is agileand responsive. A business that is growing fast and where you getto drive and shape the future. A place where you are respected byeveryone and your voice is important. Somewhere where you can beinnovative and creative. A place where you have the opportunity tolearn about all aspects of business from marketing to sales, todelivery and business operations. Time to tell you about us! We areDaintta. We provide deep expertise with technical and businessspecialists to help clients and organisations secure and protectthe UK. In complex environments, we use innovative methods to solvethe hardest data challenges to help organisations make moreinformed and accurate decisions, at scale and faster. We are agile,responsive, independent, and collaborative while our values ofFair, Transparent, and Daring guide all our decision-making.Security Information Due to the nature of this position, you mustbe willing and eligible to achieve a minimum of SC clearance. Toqualify, you must be a British Citizen and have resided in the UKfor the last 5 years. For more information about clearanceeligibility, please seehttps://www.gov.uk/government/organisations/united-kingdom-security-vetting.#J-18808-Ljbffr
