At a Glance
- Tasks: Build data-driven models to boost sales and identify growth opportunities.
- Company: Join a global tech organisation with a focus on innovation.
- Benefits: £500/day, hybrid working, and a chance to influence business strategy.
- Other info: Initial 6-12 month contract with excellent career development potential.
- Why this job: Make a real impact by analysing complex datasets and delivering insights.
- Qualifications: 5+ years SQL experience and skills in predictive modelling required.
The predicted salary is between 72000 - 108000 £ per year.
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. Working closely with senior stakeholders, you will analyse complex datasets, build predictive models, and deliver insights that directly influence business strategy and sales campaigns.
Key skills required:
- 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
Data Science Engineer - £500 a day (Inside IR35) - London employer: Salt
Join a leading global technology organisation that values innovation and collaboration, offering a dynamic work environment in London. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on impactful projects that shape business strategies. Enjoy the flexibility of hybrid working while being part of a culture that encourages creativity and teamwork.
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 referral that gets you in front of the right people.
✨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 how your work has driven results in past roles, so have some examples at the ready.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a straightforward way to get your application seen by the right people without any hassle.
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 highlights your SQL experience and any relevant data science projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Science Engineer role. Mention specific experiences that relate to building predictive models and working with stakeholders.
Showcase Your Technical Skills:Since this role requires strong technical skills, make sure to mention your experience with Python and Databricks if you have it. We love seeing candidates who can hit the ground running with the tools we use!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Salt
✨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 your experience in building and deploying predictive models. Bring examples of past projects where your models made a significant impact on sales performance or customer segmentation. If possible, prepare to discuss the tools and techniques you used, especially if they relate to Python or Databricks.
✨Communicate Like a Pro
Strong stakeholder communication skills are key for this position. Practice explaining complex data concepts in simple terms, as you'll need to convey insights to non-technical stakeholders. Consider preparing a few scenarios where you successfully communicated findings and influenced decisions.
✨Understand the Business Context
Before the interview, research the company and its market. Understand their products, services, and any recent news. This will help you tailor your answers to show how your skills can directly benefit their growth opportunities and sales strategies.
