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- Tasks: Join a dynamic team to design cutting-edge analytical data solutions.
- Company: Work with a prestigious global technology consulting firm focused on innovation.
- Benefits: Enjoy flexible working, competitive salary, and a personalised benefits package.
- Why this job: Be part of exciting projects that make a real impact in the tech world.
- Qualifications: Ideal candidates have experience in data roles and familiarity with AI techniques.
- Other info: UK security clearance is preferred; various levels of experience are welcome.
The predicted salary is between 42000 - 76000 £ per year.
Artificial Intelligence Engineer / Data Scientist £50k – £90k dependant on experience, bonus and good benefits. Flexible working location opportunity. This role may suit individuals who have previously held roles such as Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, or AI Engineer.
We are assisting in recruiting AI Engineers / Data Scientists to join an innovative and growing team within the data practice of a prestigious global technology consulting firm. The client offers excellent career growth, professional development, and a personalized benefits package. Candidates must ideally have UK security clearance and be fully flexible regarding working location.
The successful candidate will be a key team member designing modern analytical data solutions, engaging in the full project lifecycle. The role offers a diverse range of exciting work.
Key Skills:- AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.)
- Python, R, or Spark for data insights
- Data Bricks / Data QI
- SQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important)
- Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn)
- Software engineering practices (coding standards, unit testing, version control, code review)
- Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming)
- Data manipulation and wrangling techniques
- Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes)
- Data visualization skills (JavaScript preferred)
- Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform)
- Strong interpersonal skills for client engagement and requirement gathering
- Ability to translate business needs into technical solutions
- Experience in designing Data Science projects, planning, and team leadership
Deerfoot IT Resources Ltd is a leading IT recruitment business. We will always email a full role specification, specify the client, and wait for your approval before submitting your CV. We donate £1 to The Born Free Foundation for each CV sent to a client.
Data Scientist / AI Engineer employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / AI Engineer
✨Tip Number 1
Network with professionals in the AI and Data Science fields. Attend industry meetups, webinars, or conferences to connect with potential colleagues and employers. This can help you gain insights into the company culture and job expectations.
✨Tip Number 2
Showcase your projects and experience on platforms like GitHub or LinkedIn. Highlight any relevant work that demonstrates your skills in AI techniques, programming languages, and data manipulation. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and data science problems. Use platforms like LeetCode or HackerRank to sharpen your skills in Python, R, or SQL, as these are crucial for the role.
✨Tip Number 4
Research the latest trends and technologies in AI and Data Science. Being knowledgeable about current tools and frameworks, such as TensorFlow or AzureML, will demonstrate your commitment to staying updated in this fast-paced field.
We think you need these skills to ace Data Scientist / AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in AI techniques, programming languages like Python or R, and any experience with data platforms mentioned.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and AI. Mention specific projects or experiences that demonstrate your ability to design analytical solutions and engage with clients effectively.
Highlight Relevant Skills: In your application, emphasise your proficiency in key areas such as machine learning, data manipulation, and cloud platforms. Use examples to illustrate how you've applied these skills in previous roles.
Showcase Continuous Learning: Mention any recent courses, certifications, or projects that reflect your commitment to staying updated in the field of data science and AI. This shows potential employers that you are proactive about your professional development.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Make sure to highlight your experience with AI techniques and programming languages like Python or R. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Understand the Company’s Needs
Research the consulting firm and understand their focus areas within data science and AI. Tailor your responses to show how your skills align with their projects and how you can contribute to their innovative team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world problems. Prepare examples of how you've designed analytical solutions or led data science projects, focusing on your thought process and the impact of your work.
✨Demonstrate Strong Interpersonal Skills
Since client engagement is crucial, be ready to discuss how you've gathered requirements and translated business needs into technical solutions. Show that you can communicate complex ideas clearly and work collaboratively with diverse teams.
