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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 employer: Softwire
Contact Detail:
Softwire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land data scientist
✨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 position that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data science projects. Whether it's predictive analytics or machine learning models, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your approach to problem-solving and how you've delivered value in past projects. Practice explaining complex concepts in simple terms – it’s key for communicating with diverse audiences!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our values and the role's requirements.
We think you need these skills to ace data scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the data scientist role. Highlight your expertise in Python, data analysis, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs. Don’t forget to mention any consultancy experience or interest in AI ethics – we love that!
Showcase Your Projects: If you've worked on interesting data science projects, make sure to include them in your application. Whether it's predictive analytics or computer vision, we want to see your hands-on experience and how you’ve tackled real-world problems.
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 the role. Plus, it shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Softwire
✨Know Your Data Science Stuff
Make sure you brush up on your data analysis, predictive analytics, and the Python ecosystem. Be ready to discuss your experience with libraries like PyTorch and TensorFlow, and have examples of projects where you've successfully deployed models. This will show that you’re not just familiar with the tools, but you know how to use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've taken unclear business problems and turned them into actionable data science solutions. Think of specific examples where your investigative approach led to successful outcomes. This will demonstrate your ability to add real value to clients.
✨Communicate Like a Pro
Since you'll need to explain complex concepts to diverse audiences, practice articulating your thought process clearly. Use simple language to describe your experiments and results. This will help interviewers see that you can bridge the gap between technical details and client understanding.
✨Be Ready to Share Best Practices
As an active member of the Data and AI capability, you’ll be expected to support and mentor junior colleagues. Think about how you can contribute to the team's growth and share your knowledge. Bring examples of how you've done this in the past or ideas for how you could do it in this role.