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- Tasks: Join a team to build ML models for detecting anomalies in customer accounts.
- Company: A leading E-commerce company focused on customer security and trust.
- Benefits: Enjoy remote work flexibility with a competitive daily rate.
- Why this job: Make a real impact by protecting customers from cyber threats while enhancing your skills.
- Qualifications: Experience in NLP, Python, SQL, and Databricks is essential; familiarity with image classification is a plus.
- Other info: Initial 6-month contract with a high chance of extension; immediate start preferred.
The predicted salary is between 72000 - 108000 £ per year.
One of our clients is a leading E-commerce company looking for a DS/ML engineer to join them for an initial 6 months contract.
Details of this contract are as follows:
- Location: Remote
- Duration: 6 months, high likelihood of extension
- Rate: £400 - £450 per day
- Status: Outside IR35
- Start date: Ideally immediate (they may be able to wait up to 4 weeks for someone to start)
Skills required: NLP, Modelling, Python, SQL, Databricks, Anomaly Detection
Desirable: Image Classification, Airflow, Pyspark
You will be joining their customer security team, which uses machine learning to detect anomalies and erroneous activity on customer accounts. You will be building models to help detect any unwanted account takeovers by cyber criminals and build customer trust.
If this is of interest, then please apply today or send through an updated CV to: david@truenorthgroup.io
Locations
Data Science & ML Engineer employer: TrueNorth®
Contact Detail:
TrueNorth® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & ML Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in NLP and anomaly detection. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on a small project or contributing to open-source projects that showcase your ability to apply these languages in real-world scenarios.
✨Tip Number 3
Network with professionals in the data science and machine learning community. Engaging in discussions on platforms like LinkedIn or attending relevant webinars can help you gain insights and potentially get referrals.
✨Tip Number 4
Prepare to discuss your experience with Databricks and any relevant tools like Airflow or Pyspark. Having specific examples ready will show that you not only understand the tools but have practical experience using them effectively.
We think you need these skills to ace Data Science & ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science and Machine Learning, particularly with skills like NLP, Python, and SQL. Use specific examples of projects or roles where you've applied these skills.
Craft a Strong Cover Letter: Write a cover letter that explains why you're interested in the role and how your background makes you a great fit. Mention your experience with anomaly detection and any relevant tools like Databricks or Pyspark.
Showcase Relevant Projects: If you have worked on projects related to customer security or anomaly detection, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at TrueNorth®
✨Showcase Your Technical Skills
Make sure to highlight your experience with NLP, Python, SQL, and Databricks during the interview. Prepare specific examples of projects where you've successfully implemented these technologies, especially in relation to anomaly detection.
✨Understand the Company’s Mission
Research the e-commerce company and understand their focus on customer security. Be ready to discuss how your skills can contribute to building trust and preventing account takeovers, as this will show your alignment with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach detecting anomalies or erroneous activities and be prepared to explain your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the challenges they face in customer security. This not only shows your interest but also helps you gauge if the role is the right fit for you.