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- Tasks: Join a dynamic team to design cutting-edge analytical data solutions.
- Company: Be part of a prestigious global technology consulting firm with a focus on innovation.
- Benefits: Enjoy flexible working, excellent career growth, and a personalised benefits package.
- Why this job: Work on diverse projects that make a real impact in the AI and data science field.
- Qualifications: Ideal candidates have experience in data roles and familiarity with AI techniques and tools.
- Other info: We donate £1 to The Born Free Foundation for every CV submitted.
The predicted salary is between 42000 - 72000 £ per year.
Artificial Intelligence Engineer / Data Scientist £50k – £90k dependant on experience bonus good bens. 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 QISQL 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: NLP PEOPLE
Contact Detail:
NLP PEOPLE 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 learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your projects on platforms like GitHub or Kaggle. Having a portfolio of your work can demonstrate your skills in AI techniques and data manipulation. This practical evidence of your abilities can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies mentioned in the job description. If you haven't worked with them yet, consider taking online courses or tutorials to build your knowledge. Being able to discuss these tools confidently during interviews will impress us.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios relevant to data science. Websites like LeetCode or HackerRank can be great resources. This preparation will help you feel more confident and perform better when it comes to technical assessments.
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 in the full project lifecycle.
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 Interpersonal Skills: Since strong interpersonal skills are crucial for client engagement, include examples of how you've successfully gathered requirements or collaborated with teams in past projects. This will help demonstrate your fit for the role.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI techniques and programming languages like Python or R. Highlight specific projects where you've applied machine learning or data analysis, as this will demonstrate your hands-on expertise.
✨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 goals, which will help you stand out as a candidate who is genuinely interested in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach real-world data challenges, including designing analytical solutions or deploying models on cloud platforms. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Strong Interpersonal Skills
Since client engagement is key in this role, be ready to showcase your communication skills. Share examples of how you've successfully gathered requirements from clients or collaborated with team members, as this will highlight your ability to work effectively in a team environment.
