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For Companies At a Glance
- Tasks: Lead exciting data science projects and shape innovative solutions for clients.
- Company: Join a forward-thinking tech company with a focus on Data and AI.
- Benefits: Competitive salary, profit share, flexible working, and generous leave options.
- Other info: Collaborative environment with opportunities for growth and knowledge sharing.
- Why this job: Make a real impact in the world of data science and AI.
- Qualifications: Proven experience in data analysis, predictive analytics, and Python libraries.
The predicted salary is between 59400 - 78800 £ per year.
Responsibilities
- Scope, design and deliver high‑quality data science projects end‑to‑end for our clients, owning technical delivery with limited oversight.
- Support our Principals in exploring & shaping client opportunities.
- Support technical quality with code and design reviews and by sharing best experimentation practice.
- Contribute to data science growth across our organisation as an active member of the Data and AI capability, supporting and sharing best practice with junior colleagues.
- Help shape how Softwire approaches data science: tooling, methodology, use case evaluation, and governance.
Qualifications
- Experienced data scientist with proven expertise in data analysis & predictive analytics.
- Computer vision, natural language processing, MLOps and productionising models.
- Expert knowledge of the Python ecosystem and core data science libraries; experience on major cloud platforms (PyTorch, TensorFlow, Keras, Scikit‑learn, MLflow, Azure ML, SageMaker, Databricks).
- Investigative approach to problems, using experiments and evidence to guide decisions.
- Comfortable taking an unclear business problem and shaping it into a data science approach that provides client value.
- Track record designing, training and deploying models that deliver measurable benefits; strong analytics and visualisation skills.
- Strong understanding of statistics, bias, AI ethics, and model governance.
- Active interest in ongoing developments in Data & AI and knowledge of industry trends.
- Excellent communication skills, able to explain processes, experiments and outcomes to diverse audiences.
- Interest in growth beyond delivery: knowledge sharing, business development conversations, shaping data science capability.
- Bonus: prior consultancy/advisory experience, and experience in target sectors (Government & Public Sector, Financial Services & Insurance, Energy & Utilities, Transportation, Media & Entertainment, healthcare).
Benefits
- Base salary ranges from £59,400 - £78,800, plus profit share;
- Pension 5% of salary;
- 25 days annual leave with option to buy/sell;
- Time off for morale events and charitable activities;
- Free annual eye test, income protection, cycle to work, electric vehicle lease schemes, payroll charity donations.
- Flexible working and work/life balance, no expectation of long hours.
data scientist in City of Westminster employer: Softwire
Contact Detail:
Softwire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land data scientist in City of Westminster
✨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. You never know who might have a lead or can refer you to a role that fits your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, machine learning, or any cool visualisations you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past projects, how you tackled challenges, and how you can contribute to shaping data science at their company.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with data analysis, predictive analytics, and any relevant tools you've used.
We think you need these skills to ace data scientist in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the data scientist role. Highlight your experience with Python, data analysis, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of data science projects you've completed. Whether it's predictive analytics or model deployment, we love seeing real-world applications of your skills. Don't be shy—let us know how you made an impact!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Softwire
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in areas like predictive analytics, computer vision, and natural language processing. Be ready to discuss your experience with Python libraries and cloud platforms like Azure ML or SageMaker, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled unclear business problems in the past. Use specific examples where you shaped a vague issue into a clear data science approach that delivered value. This will demonstrate your investigative mindset and ability to drive results.
✨Communicate Clearly
Since you'll need to explain complex processes and outcomes to diverse audiences, practice articulating your thoughts clearly. Think about how you can break down technical jargon into simple terms, making it easier for non-technical stakeholders to understand.
✨Be Ready to Share Best Practices
As an active member of the Data and AI capability, you'll be expected to support and share best practices. Prepare to discuss how you've contributed to knowledge sharing in previous roles and how you plan to help junior colleagues grow in their data science journey.