10 of 10 Permanent Data Science Jobs in Kent

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Graduate Data Scientist Must have 2:1 or higher in Computer Science, Data Science, AI degree, or related field.Must have covered Machine learning and AI within degree. West Malling - £30,000 – INTERVIEWING NOW FOR IMMEDIATE START! Join a well-established and expanding team within the financial services industry and apply your data science expertise … recent university leaver to make a swift contribution by crafting and implementing sophisticated models that shape key organisational strategies. Your Responsibilities Will Include: Designing and maintaining reliable, well-structured data workflows Creating machine learning solutions to assist with strategic choices Investigating the use of AI to enhance operational performance Partnering with data professionals on one-off analytical initiatives … Communicating findings clearly to both technical peers and business stakeholders Ideal Candidate Profile: A 2:1 degree or higher in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Strong grasp of statistical methods and machine learning techniques Confident in using Python and SQL for data tasks Inquisitive, self-driven, and eager to tackle More ❯

in to this Technical Pricing Manager role to deliver and develop high-performing retail pricing models and optimisations using innovative approaches. You'll be a key player in embedding data science into our pricing strategy and building models that directly impact commercial success. What You’ll Do: Deliver end-to-end pricing models using our tailored pricing pipeline … models and optimise prices Identify and implement process improvements to enhance pricing performance Lead and contribute to R&D efforts for innovative modelling approaches Integrate tools and outputs from data science teams Ensure compliance with pricing governance and controls Collaborate with Commercial Pricing to align models to business goals Mentor and support junior analysts and team members What … Mathematics , or a related analytical field Experience in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data analysis and modelling Experience applying advanced machine learning to pricing Strong communication skills to explain technical ideas to non-technical audiences Proven commercial impact from pricing or R&D More ❯

motivated individual to power forecasting and trading decisions. This role combines applied AI and full-stack web development, ideal for someone who enjoys working across the stack and applying data-driven intelligence to real-world energy market problems. You'll join our IoT team, focusing on AI tools and features for our IoT products and projects. Key Responsibilities: Design … and trading activity. Build or extend REST APIs for serving forecasts and historical analytics. Required Qualifications: At least 3 years of combined experience in software development, machine learning, or data science. Proven experience in ML topics including data engineering and time series forecasting (e.g., Prophet, ARIMA, XGBoost, LSTM). Proficiency in Python (data science stack) and More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

a consultative approach to both internal and external customers to inform our strategy and tactics, and whilst you understand the value of instinct, you'll have sound thinking and data to back it up. Your communication methods need be second to none with international customers. Understanding the bigger picture - You will understand where parts of the exiting solution apply … value proposition. Continuous improvement across the team and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machine learning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered features Understanding AI model lifecycle … management, including data collection, model training, evaluation, and deployment considerations. Assessing ethical and regulatory implications of AI solutions to ensure compliance with education standards. Defining success metrics and KPIs to evaluate the effectiveness of AI-driven features and ensuring alignment with business objectives. Experience Experience defining software requirements for complex products, either as a business analyst or equivalent role More ❯