Software Engineering Graduate Jobs in Leeds

PwC Technology Graduate Programme in Leeds focused on engineering, data science, analytics and technology-driven business transformation, combining technical skills with commercial understanding.With a human-led, tech-powered approach, we help organisations to take advantage of the latest technologies and deliver change, at pace.    So our people build technical knowledge and commercial understanding on how technology is revolutionising the way business works.    Apply for these programmes if:  You love solving complex problems You are always looking for ways to improve things You want to work at the cutting edge of tech You have an agile mind and like constantly learning  Joining a Graduate programme We offer you the chance to explore opportunities with us based on your interests, location and degree. We provide clear guidance throughout our process to support you in making the decision that’s right for you. It’s an exciting time to join us. We're a skills-enabled organisation, allowing us to identify, develop and future-proof the skills our people need today and for tomorrow. By focusing on human and technical skills, we're promoting cross-functional teamwork, driving inclusive growth, and maximising value for our clients. And by doing this, we do more than develop skills – we cultivate potential. Enabling you to develop the skills you need, for the career you want. So that you can grow here and go further. In Leeds we have opportunities in the business areas listed below. If you have a particular preference on business area, you'll have the opportunity to express this during the application process. Please note, preferences are considered but not guaranteed. Engineering, Data Science and Analytics - CFAB (Certificate in Finance, Accounting and Business)  What you’ll need You'll need to have achieved or be on track to pass an undergraduate degree or above in any subject. We determine whether you're on course to pass based on the grades you achieved in your last completed year of academic study.  Please note that for certain roles in Engineering, Data Science and Analytics you may need to have studied a STEM degree subject.  As a reminder we accept one application per recruitment season. Before submitting your application, please ensure you have taken the time to research your chosen business category and business area thoroughly, and have a good appreciation of the professional qualifications aligned to your preferences.

Posted today

Graduate Data Scientist role using statistical analysis, machine learning, predictive modelling, SQL, and data visualisation to support business decisions across sales, marketing, pricing, and customer analytics.DescriptionAt Motia, we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 300 employees across five offices, we support over 55,000 customers nationwide.About the roleReporting to the Head of Business Intelligence, the Graduate Data Scientist will support the development of data-driven insights, predictive models, and analytical solutions that help improve business performance. This is an exciting opportunity for a recent postgraduate to apply advanced analytical techniques in a commercial environment while developing their skills alongside experienced data professionals.The successful candidate will contribute to projects across marketing, sales, pricing, and customer analytics, helping the business make informed decisions and identify opportunities for growth as we migrate to Microsoft Fabric.Please note that we are unable to offer visa sponsorship for this role, applicants must already have the right to work in the UK.Duties & ResponsibilitiesSupport the development and enhancement of customer value, segmentation, and predictive models.Assist in analysing customer, sales, and operational data to identify trends and opportunities.Contribute to the design, build, testing, and deployment of machine learning and statistical models.Support pricing and commercial analysis through data exploration and modelling techniques.Work with stakeholders across the business to understand analytical requirements and business challenges.Help develop dashboards, visualisations, and reporting solutions that communicate insights effectively.Participate in test-and-learn initiatives to measure the effectiveness of business strategies and campaigns.Collaborate with the Business Intelligence team to improve data quality, reporting, and analytical capabilities.Present findings and recommendations to both technical and non-technical audiences.Stay up to date with developments in data science, machine learning, artificial intelligence, and analytics.What You'll GainStructured development and mentoring from experienced data and analytics professionals.Exposure to real-world commercial data science projects.Opportunities to develop technical and business skills.A collaborative and innovative working environment.Clear career progression opportunities within Data Science and Analytics.RequirementsMaster’s degree in Data Science (or closely related subject such as Artificial Intelligence, Machine Learning, Statistics, Mathematics, Computer Science, or Analytics).Strong understanding of statistical analysis, data modelling, and machine learning concepts.Experience using Python and/or R through academic projects, internships, or personal development.Knowledge of SQL and relational databases.Ability to work with large datasets and transform data into actionable insights.Strong analytical and problem-solving skills.Excellent communication skills with the ability to explain technical concepts clearly.Highly organised with strong attention to detail.Eagerness to learn, develop, and build a career within data science.Ability to work collaboratively within cross-functional teamsExperience with data visualisation tools such as Power BI or Tableau.Knowledge of cloud analytics platforms such as Azure, AWS, or Google Cloud.Understanding of predictive modelling, customer analytics, or commercial analytics.Experience of applying machine learning techniques through university projects or internships.Familiarity with Git or other version control tools.BenefitsHybrid working - 2/3 days on site at our Leeds Head Office a weekBasic Salary - £30,000 per annumBonus - up to £2k per annumAnnual leave - 25 days plus bank holidaysAn additional day annual leave for your birthday after 1 year serviceHoliday purchase Scheme - buy/sell up to 5 days annual leave after 2 years serviceFree breakfastEarly Friday finish - 2:45pmFun, supportive working environmentCycle to work schemeDress down officePension4 x salary life assurance

Posted 2 days ago

A Software Developer Graduate role with a £60,000 starting salary, where you develop real-world healthcare software and work on projects involving AI, databases, apps, and full software development.Do you want a £60,000 starting salary AND the opportunity to make a difference?We’re looking for bright and geeky graduates to join our Software Developer team. No experience is required, and many of our successful applicants have never programmed before. If you think logically and enjoy problem solving, then you have the potential to become a great developer.A career at TPP will challenge you every day. In your first few weeks you will be solving real-world problems as you help to develop software used by healthcare professionals and patients across the world.You’ll be part of an agile development team, working on one of the largest real-time databases in the world. You’ll work on a wide variety of projects, ranging from AI assisting clinicians with early diagnosis of cancer to an iOS app helping patients manage their diabetes.Developers at TPP are involved in the full software cycle, and work closely with all teams across the company to scope out new projects and design, develop and deploy our products.RequirementsPredicted 2:1 or above at degree levelA*AA at A Level with an A* in Maths

Posted 19 days ago