At a Glance
- Tasks: Analyse complex datasets and build predictive models to drive business growth.
- Company: Join a global tech organisation with a focus on innovation.
- Benefits: Competitive daily rate, hybrid working, and potential for contract extension.
- Other info: Initial 6-12 month contract with opportunities for career advancement.
- Why this job: Make a real impact on sales performance while working with cutting-edge data science techniques.
- Qualifications: 5+ years SQL experience and strong skills in data science and stakeholder communication.
We are currently seeking a Data Science Engineer to join a global technology organisation on a contract basis. This role will focus on building data-driven models to identify growth opportunities and improve sales performance across a large customer base.
Responsibilities
- Analyse complex datasets, build predictive models, and deliver insights that directly influence business strategy and sales campaigns, working closely with senior stakeholders.
Qualifications
- Strong SQL experience (5+ years) working with complex datasets
- Experience building and deploying data science / predictive models
- Experience with customer segmentation, forecasting, or propensity modelling
- Strong stakeholder communication skills
- Python and Databricks experience (desirable)
Contract Details
- £500 per day (Inside IR35) – London / Hybrid working – Initial 6-12 month contract.
- Rates depend on experience and client requirements.
Data Science Engineer – £500 a day (Inside IR35) – London employer: Salt Digital Recruitment
Join a leading global technology organisation that values innovation and collaboration, offering a dynamic work culture where your contributions as a Data Science Engineer will directly impact business strategy and sales performance. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to work in a hybrid environment in London, making it an ideal place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer – £500 a day (Inside IR35) – London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Sometimes, a friendly nudge can lead to a hidden gem of a job.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss your experience with predictive models. We want you to showcase your expertise and how it can benefit the company.
✨Tip Number 3
Tailor your pitch! When you get the chance to speak with potential employers, make sure to highlight your experience with customer segmentation and forecasting. Show them how your skills align with their needs.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar faces from our community landing great roles!
We think you need these skills to ace Data Science Engineer – £500 a day (Inside IR35) – London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Engineer role. Highlight your SQL experience and any predictive models you've built. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've analysed complex datasets or improved sales performance. This gives us a clear picture of your capabilities and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to your experience and skills.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Salt Digital Recruitment
✨Know Your SQL Inside Out
Since strong SQL experience is a must for this role, make sure you brush up on your SQL skills. Be prepared to discuss complex queries you've written and how they helped solve real business problems. Practising with sample datasets can help you articulate your thought process during the interview.
✨Showcase Your Predictive Modelling Skills
Be ready to talk about specific predictive models you've built and deployed. Highlight the impact these models had on sales performance or customer segmentation. If possible, bring examples or case studies that demonstrate your ability to deliver actionable insights from data.
✨Communicate Like a Pro
Strong stakeholder communication skills are key for this position. Practice explaining complex data concepts in simple terms. Think of scenarios where you successfully communicated insights to non-technical stakeholders and be ready to share those stories.
✨Familiarise Yourself with Python and Databricks
While Python and Databricks experience is desirable, it’s worth brushing up on these tools if you're not already familiar. Consider doing a quick project or two to get comfortable with them, so you can confidently discuss how you would use them in the role.
