Lead Data Scientist
On site
Coventry, United Kingdom
£ 55,295 / year
Full Time
12-03-2025
Job Specifications
Job Title: Lead Engineer – Data Scientist
Location: Coventry, West Midlands
Salary: £46,485 to £55,295 (D.O.E)
Job Purpose:
This role involves advanced research in Data Science and Analytics for automated driving projects, using cutting-edge Machine Learning techniques to analyse real-world and simulation data. You will work with diverse datasets (e.g., accident reports, insurance claims, sensor data) to identify trends, generate scenarios, and develop scalable machine learning pipelines.
As part of the Safe Autonomy Research Group, you will contribute to research on automated transport safety across land, air, and marine domains. The team’s work influences global standards, policies, and industry practices, collaborating with partners through funding from Innovate UK, Horizon Europe, and industry stakeholders.
Successful candidate will also be expected to mentor colleagues with less experience and conduct individual or collaborative research projects.
Key Responsibilities:
Conduct research on data analysis techniques for automated vehicle datasets.
Develop and apply machine learning methodologies, including novel approaches using LLMs.
Engage with industry experts to understand best practices, standards, and regulations.
Provide strategic direction and support for project partners.
Publish research findings in high-impact journals and present at conferences.
Develop and deliver training materials to share expertise with partners.
Ensure project deliverables are met within deadlines and report progress.
Attend and represent at national and international events.
Requirements:
Essential Criteria:
Education: A good honours degree in a relevant field.
Experience: Significant experience in data science, large datasets, and industrial R&D.
Technical Skills: Proficiency in TensorFlow, MATLAB, Python (pandas, numpy, scipy, bokeh), AI algorithms, cluster analysis, and SQL databases.
Data Analysis: Strong mathematical, statistical, and data visualization skills, including efficient analysis of large datasets.
Project Management: Ability to plan, execute, and deliver complex projects to tight deadlines.
Collaboration & Communication: Strong teamwork, interpersonal, and presentation skills, with experience in research collaborations.
Adaptability & Initiative: Ability to work in diverse teams, adapt to new challenges, and provide innovative solutions.
Experimental Work: Willingness to conduct hands-on research.
Desirable:
A doctorate level qualification in a relevant research area
About the Company
Welcome to WEG Technology Recruitment The latest creation from the Warwick Employment Group (WEG) with a dual remit to support University establishments and privately owned companies identify and secure technically skilled and qualified staff. We are a non-profit making organisation that offers internal and external clients a high-level service, with over 20 years of experience in recruiting within the engineering and technology sectors. Being University of Warwick owned also means we adhere and work to the highest com... Know more
Related Jobs
- Company Name
- Vixio Regulatory Intelligence
- Job Title
- Data Scientist
- Job Description
- Data Scientist - Regulatory Scanning Initiative About Vixio: Vixio is a leading Regulatory Technology (RegTech) platform created to remove the risk of non-compliance in the payments and gambling industries. We deliver comprehensive, time-sensitive, and actionable regulatory intelligence for the payments and gambling sectors across the globe, where rules differ from one jurisdiction to the next. Today, the Vixio platform provides raw information on regulations spanning more than 180 jurisdictions worldwide. Our mission is to empower businesses to efficiently manage and meet their regulatory obligations through our innovative SaaS tools. About the role: We are looking for an experienced Lead Data Scientist to spearhead the data science efforts within our Regulatory Scanning Initiative. The ideal candidate will have a strong background in data science, machine learning, and predictive analytics, with a proven ability to lead projects and teams. This role involves developing and implementing advanced data processing and analysis techniques to enhance our regulatory scanning capabilities, increase operational efficiency, and expand our coverage to multiple industries and jurisdictions. Key Responsibilities: Leadership and Strategy: Providing strategic direction and technical guidance for data science inititices Collaborate with the Head/Manager of Regulatory Scanning to define and execute data science strategies that align with business objectives. Mentor and develop analysts, fostering a culture of continuous learning and innovation. Data Processing and Modeling: Design and implement data pipelines for ingesting and processing large volumes of regulatory data from diverse sources. Develop machine learning models and algorithms for data categorization, contextualization, and predictive analytics. Ensure the accuracy, quality, and relevance of data insights provided to internal stakeholders and customers. Predictive Analytics and Trend Analysis: Leverage predictive analytics to identify emerging regulatory trends and potential future changes. Create models to forecast the impact of regulatory changes on different industries and jurisdictions. Develop and refine methods for prioritizing regulatory updates based on customer relevance. Collaboration and Integration: Work closely with product managers, developers, and regulatory analysts to integrate data science solutions into Vixio’s technology stack. Collaborate with other departments to ensure data-driven decision-making and alignment with overall business goals. Communicate complex data insights in a clear and actionable manner to non-technical stakeholders. Innovation and Continuous Improvement: Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. Identify and implement new tools, techniques, and technologies to enhance data processing and analysis capabilities. Continuously improve data science workflows and methodologies to increase efficiency and effectiveness. Qualifications: Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. A Ph.D. is a plus. Experience: Proven experience as a Data Scientist, with a track record of successfully leading data science projects. Strong expertise in machine learning, statistical modeling, and predictive analytics. Experience in RegTech, FinTech, or related industries is highly desirable. Demonstrated experience in managing and mentoring teams. Technical Skills: Proficiency in programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Strong knowledge of SQL and database management. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Preferred Qualifications: Experience with natural language processing (NLP) and text analytics. Knowledge of regulatory frameworks and compliance requirements. Familiarity with agile development methodologies. Our Benefits: -Hybrid Working (2 days in the office) -Flexible working hours -20 days working abroad -Salary sacrifice car scheme -Pension -Health insurance -Cycle to work scheme -Dental -Mental health wellbeing support Our Core Values: https://www.vixio.com/vixio-values
London, United Kingdom
Hybrid
Full Time
12-03-2025
- Company Name
- Avison Young
- Job Title
- Data Analyst
- Job Description
- Our Story Our small Canadian-born business was founded in 1978 and has become a global organization that now spans 120 locations across 20 countries. Our expansion has been rapid, but what matters most is the common belief that drives all 5,000 of our people to be a different type of real estate organization. We believe that the places in which we live, work and play have the power to make us happier and healthier, and we are united by a shared sense of purpose, to have a positive impact on people’s lives. In short, we are a global commercial real estate advisory firm with a simple aim: for real estate to play a leading role in creating vibrant buildings, cities and places that deliver long-lasting social value and economic impact. Why Work For Us We believe that our industry is changing, and we want our business to be a melting pot of curious minds, passionate hearts and strategic intelligence. Your gender, religion and race are all highly respected, but are less important to us than your ability to step up and change the game. We provide you with a place where you can do just that, with like-minded people. Collaboration is embedded in the way we work – our people have the autonomy to collaborate on client relationships, engage teams across the business, lead operations, work collectively on projects, participate in strategy and are ultimately responsible for our growth. Our distinctive Principal-led, privately-owned model puts us in the enviable position of being able to offer every employee the opportunity to own a share of our business and inspires and allows anyone to become a Principal. This role carries voting rights, so our people have a very real say in the future direction and operation of our business. This means that we are able to attract, engage and retain the best talent from the industry. As a Data Analyst for the Professional Advisory Business Group you will report into the group’s Chief Operating Officer and Managing Director. You will work closely with the Market Intelligence, Valuation, Healthcare, Student Accommodation, Leisure and Hotels team that is spread around the UK with a focus on data analysis, extraction, visualisation and monitoring to provide innovative solutions when presented with large data sets. Leveraging your understanding and passion for data analytics, the successful candidate will take proactive ownership of key data sets from across the Professional Advisory Business Group and have a positive impact on internal workflow, process optimisation and real estate market knowledge. Compile, analyse and take ownership of multiple internal data sets within the Professional Advisory Business Group and wider company using ETL processes and a strong understanding of SQL platforms. Design and build comprehensive models drawing from multiple data sets using excel, SAAS platforms and API’s. Research, compile and extract inflowing real estate market data, utilising a strong knowledge of visualisation tools. Produce deep dive data analysis into group KPI’s that positively influence the trajectory of the teams’ roadmap. Identify and close data gaps that will have a positive impact on workflow and process optimisation. You can collaborate effectively with cross-functional teams, translating requirements into strong technical solutions. You can communicate concepts, ideas and solutions to stakeholders across seniority levels in person within the business group and the wider company. Work collaboratively with external stakeholders to reach effective solutions that will benefit the business group and the wider company. Degree qualified with strong quantitative/analytical ability and attention to detail. Excellent excel modelling skills. Strong understanding and use of data visualisation tools. Previous use of Power BI is preferred. Ability to interpret and draw conclusions from data sets and present findings to stakeholders in an accessible way. Experience with extracting/transform/load (ETL) processes, SAAS platforms and API’s. Strong understanding and utilisation of SQL databases. Foundation knowledge of Python and/or R. Take a proactive approach to problem solving, taking full ownership across the lifespan of a project. Excellent communication skills with the ability to clearly explain concepts concisely to stakeholders within the business group and wider company. Ability to prioritise tasks and manage time effectively. At Avison Young, we’ve always put people at the heart of what we do. In the last few years, we’ve increased the diversity at our board, leadership and Principal levels. Avison Young stands out for our commitment to empowering women. In addition to increasing the number of women on our board and in our leadership ranks, our internal Women’s Network of more than 500 members come together for networking and learning, and advise the business on strategies for promoting access, opportunity and inclusion in our industry. Our global DEI steering committee shapes our strategy to continue to increase industry access for underrepresented groups and accelerating initiatives led by our employee resource groups, including our Women’s Network, Black Professionals and LGBTQ+ groups. In addition to leading global initiatives, the steering committee’s work examines our policies and practices, creating accountability for results and communicating progress to our executive leadership, our clients and our communities. Our Culture Is Underpinned By Our Approach To Diversity, Inclusion, And Well-being. We Are Committed To Building An Inclusive Culture That empowers all our employees to thrive, reflects all backgrounds and talents, allows individuals to be successful and feel a sense of belonging, and foster a workplace that is supported, inclusive and has a strong sense of community between colleagues. Avison Young is an equal opportunity employer and is committed to treating all its employees and job applicants equitably. This includes implementing deliberate strategies that advance underrepresented communities in commercial real estate careers. As a Disability Confident Employer, we are committed to removing any obstacles to inclusion. If you need any adjustments to support your application or any part of the recruitment process, such as information in alternative formats or special requirements to access our buildings, or you are eligible under the Disability Confident Scheme please contact us at careers.uk@avisonyoung.comcareers.uk@avisonyoung.com> and we will do everything we can to help. We are committed to inclusion in our hiring processes, and we want to give everyone a chance to show what they can bring to our organisation. If you are not sure that you have all the skills in the person specification, please still apply. We value passion and potential in our employees, so it would be great to hear from you and why you would suit this position. Some of our roles may be remote and some roles may be specific to our offices, but ...
London, United Kingdom
Hybrid
Full Time
12-03-2025
- Company Name
- RedRock Resourcing
- Job Title
- Datacenter Technician (RefKN)
- Job Description
- Datacentre Technician (RefKN) Do you want to work for a leading technology provider? Passionate about data centre technologies? If so, please see below... Leading, expanding and award winning technology provider is recruiting now. My client is looking for passionate, enthusiastic and technology driven individuals to join their data centre operations team. This is an interesting and varied opportunity that will develop skills in: Hardware (Servers); basic networking; Web Hosting technologies; Colocation; Monitoring, Power, AC and much more... Salary: Up to £34,000 + benefits Location: West London N.B. - Applicants must have a UK license and access to a vehicle Graduates with a placement year and candidates with transferable homebased experience can be considered. Knowledge and experience in the below areas is advantageous: Datacentre environment Servers (Windows / Linux) Virtualisation Hardware skills (PC/Laptop builds) Cabling / Racking This role will involve onsite work and working on a 24/7 shift basis (days & nights) Please get in touch for more information. Regards,
London, United Kingdom
On site
Full Time
12-03-2025
- Company Name
- In Technology Group
- Job Title
- AI Engineer (Machine Learning & Computer Vision)
- Job Description
- Job Title: AI Engineer (Machine Learning & Computer Vision) Location: Leeds (3 Days a Week) Salary: £60,000 - £80,000 + Benefits About Us: The Client, based in Leeds,have just received their Series A funding, is at the forefront of AI innovation, building cutting-edge solutions that harness the power of artificial intelligence, machine learning, and computer vision. Our team is dedicated to solving complex problems and delivering intelligent systems that drive real-world impact. We are seeking a skilled AI Engineer to help us push the boundaries of what's possible. Responsibilities: Design, develop, and deploy machine learning models, with a strong focus on computer vision applications. Implement deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras. Develop and optimize image processing and vision-based AI algorithms for object detection, segmentation, and classification. Work with large-scale datasets, including data preprocessing, augmentation, and annotation. Build and deploy AI models into production using cloud-based services (AWS, Azure, GCP) or edge computing platforms. Improve model performance through hyperparameter tuning, transfer learning, and advanced optimization techniques. Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate AI models into applications. Stay up to date with the latest AI research, trends, and emerging technologies in computer vision and deep learning. Develop scalable APIs and integrate AI solutions with existing infrastructure. Technical Skills: Expertise in Python, C++, or Java for AI/ML development. Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, OpenCV, Scikit-learn, and ONNX. Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and scaling. Strong understanding of neural networks, deep learning architectures, and computer vision techniques. Knowledge of real-time AI inference and edge computing optimization. Experience with AI pipeline automation, version control, and CI/CD integration. Familiarity with data engineering tools such as Apache Spark, Hadoop, or SQL for large-scale data processing. Proficiency in using Git, Docker, and Kubernetes for deployment and collaboration. Required Qualifications: Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Strong proficiency in Python and experience with ML libraries/frameworks (TensorFlow, PyTorch, OpenCV, Scikit-learn). Experience with computer vision techniques such as image classification, object detection (YOLO, Faster R-CNN), image segmentation, and OCR. Knowledge of deep learning architectures, including CNNs, RNNs, and transformers. Experience working with large-scale datasets, data augmentation, and feature extraction techniques. Proficiency in cloud computing services for AI/ML deployment (AWS SageMaker, Azure ML, GCP AI). Familiarity with MLOps practices, including model versioning, deployment, and monitoring. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Experience with edge AI deployment (NVIDIA Jetson, TensorRT, OpenVINO, or Coral Edge TPU). Hands-on experience with reinforcement learning or generative AI models. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with automated ML pipelines and tools like Kubeflow or MLflow. Contributions to open-source AI/ML projects or research publications in AI conferences. What We Offer: Competitive salary and equity options. Opportunities to work on cutting-edge AI technologies and impactful projects. A collaborative, innovation-driven work environment. Flexible work arrangements and remote work options. Continuous learning and professional development support. Desirable Benefits: Health, dental, and vision insurance Flexy days off (upto 40) Generous paid time off, including vacation and sick leave. Stock options and performance-based bonuses. Relocation assistance for eligible candidates. Access to state-of-the-art AI research labs and computing resources. Sponsored attendance at AI/ML conferences and workshops.
Leeds, United Kingdom
Hybrid
Full Time
12-03-2025