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- Tasks: Lead graph data science projects and develop innovative solutions for clients.
- Company: Join a top IT consultancy known for its cutting-edge technology and impactful projects.
- Benefits: Enjoy flexible working, competitive salary, bonuses, and permanent benefits.
- Why this job: Make a real impact with your skills in a collaborative and innovative environment.
- Qualifications: Proficiency in graph data analytics and experience with graph databases like Neo4j required.
- Other info: Candidates must be eligible for SC Clearance (British/ILR).
The predicted salary is between 64000 - 96000 £ per year.
Senior Graph Data Scientist £80k – 100k + Permanent Benefits + Bonus UK Wide – Flexible working This position requires candidates to undergo SC Clearance, so you must be eligible (British/ILR) A leading IT consultancy is looking to recruit a Senior Data Scientist specialising in Graph Technologies and Graph Data Science, alongside skills in machine learning, GenAI, data science and software engineering. You will work closely with key end clients to identify challenges, define impactful graph-based solutions, and clearly communicate how these solutions meet their goals. Key Skills & Experience: Graph Data Science: proficiency in graph data analytics, e.g. depth-first/breadth-first search, community detection, graph embeddings and graph neural networks. Graph ontologies/data models: experience in ontology and knowledge graph design is strongly desired. An understanding of the distinction between Labelled Property Graphs and Resource Description Framework approaches would enhance your application. Graph Databases: demonstrable experience in using Neo4j, ArangoDB, Apache Jena or other graph databases/technology to derive business insights. Data Science Capabilities: working understanding of a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Communication Skills: strong ability to present complex …
Senior Graph Data Scientist employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Graph Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends and advancements in graph data science. This will not only help you understand the field better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the graph data science community. Attend relevant meetups, webinars, or conferences to connect with others in the field and gain insights that could be beneficial for your application.
✨Tip Number 3
Prepare to discuss specific projects where you've applied graph technologies. Be ready to explain your thought process, the challenges you faced, and how you overcame them using graph data science techniques.
✨Tip Number 4
Showcase your communication skills by practicing how to present complex graph-based solutions clearly and concisely. This is crucial as you'll need to convey technical concepts to non-technical stakeholders.
We think you need these skills to ace Senior Graph Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with graph data analytics and technologies. Include specific projects or roles where you utilized skills like community detection, graph embeddings, or worked with graph databases such as Neo4j or ArangoDB.
Showcase Technical Skills: Clearly outline your proficiency in machine learning and data science techniques. Mention any relevant tools or programming languages you are familiar with, especially those related to AI and data analysis.
Demonstrate Communication Skills: Since the role requires strong communication abilities, provide examples of how you've effectively communicated complex data-driven solutions to clients or stakeholders in the past.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing, such as 'graph technologies', 'data science', and 'machine learning', to ensure your application stands out.
How to prepare for a job interview at Adecco
✨Showcase Your Graph Data Science Expertise
Be prepared to discuss your experience with graph data analytics in detail. Highlight specific projects where you've utilized techniques like depth-first search or community detection, and be ready to explain how these methods contributed to solving real-world problems.
✨Demonstrate Knowledge of Graph Ontologies
Familiarize yourself with ontology and knowledge graph design principles. During the interview, articulate your understanding of the differences between Labelled Property Graphs and Resource Description Framework approaches, as this knowledge will set you apart from other candidates.
✨Discuss Your Experience with Graph Databases
Prepare examples of how you've used graph databases like Neo4j or ArangoDB to derive business insights. Be ready to explain the challenges you faced and how you overcame them using these technologies.
✨Communicate Complex Ideas Clearly
Since strong communication skills are essential for this role, practice explaining complex graph-based solutions in a simple and engaging manner. Use analogies or visual aids if necessary to ensure your ideas resonate with non-technical stakeholders.
