At a Glance
- Tasks: Join a dynamic team to design innovative data solutions and engage in exciting projects.
- Company: Prestigious global tech consulting firm with a focus on career growth.
- Benefits: Competitive salary, flexible working, and a personalised benefits package.
- Other info: Flexible location and excellent opportunities for professional development.
- Why this job: Make an impact in AI and data science while working with cutting-edge technologies.
- Qualifications: Experience in AI techniques and programming languages like Python or R.
The predicted salary is between 58500 - 71500 £ per year.
We have been asked to assist in the recruitment of AI Engineer / Data Scientists to join an innovative and growing team within the data practice of this prestigious global technology consulting firm. Our client offers excellence in career growth, professional development and a coveted personalised benefits package. Candidates must ideally have UK security clearance, and be fully flexible on working location. The successful engineer will be a key member within a team designing the modern analytical data solutions, engaging in the full life cycle of projects. This will be a diverse role, with an exciting variety of work.
Key Skills:
- AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.)
- Python, R or Spark to extract insights from data
- Data Bricks / Data QI
- SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important)
- Latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)
- Software engineering practices (coding practices to DS, unit testing, version control, code review)
- Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming)
- Deep understanding of data manipulation/wrangling techniques
- Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm)
- Delivering insights using visualisation tools or libraries (Javascript preferred)
- Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform)
- Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.
- Ability to translate business requirements into plausible technical solutions for articulation to other development staff.
- Experience designing Data Science deliveries, planning projects and/or leading teams.
Data Scientist / AI Engineer employer: NLP PEOPLE
RedTech Recruitment Ltd. is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. With a focus on cutting-edge AI research, employees benefit from comprehensive support for professional growth, competitive salaries, and a flexible hybrid working model that promotes work-life balance. Join a team where your contributions to novel NLP and LLM approaches will be valued and recognised, making a meaningful impact in the fast-evolving tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NLP PEOPLE!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist / AI Engineer at NLP PEOPLE.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NLP PEOPLE.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist / AI Engineer at NLP PEOPLE, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist / AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NLP PEOPLE, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NLP PEOPLE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NLP PEOPLE
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NLP PEOPLE!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
