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For Companies At a Glance
- Tasks: Lead the delivery of analytical solutions and solve real-world problems with data science.
- Company: Dynamic professional services firm focused on innovation and client success.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by turning complex challenges into practical solutions for clients.
- Qualifications: 3-7 years in data science, strong skills in SQL, Python, and machine learning.
- Other info: Collaborative environment with a focus on creativity and continuous improvement.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Data Scientist within our professional services firm, you’ll lead the delivery of analytical solutions that drive measurable value for our clients. From discovery to deployment, you’ll apply the full suite of analytical techniques, from straightforward analysis to advanced techniques to solve real-world problems, working closely with both clients and internal teams to ensure solutions are practical, scalable, and aligned with business goals.
What You’ll Do
- Design, implement and deliver great analytics solutions including advanced machine learning and statistical models to solve client challenges.
- Communicate complex findings clearly to both technical and non-technical audiences.
- Lead client engagements, ensuring timely delivery of high-quality outputs.
- Collaborate with cross-functional teams to scope and execute projects.
- Continuously improve methodologies and contribute to strategic thinking across the agency.
What Makes You a Great Fit
- Client-Focused Problem Solving: You love turning complex challenges into clear, practical solutions that make a real difference for clients. You know how to choose the right tools and approaches to deliver impact, fast.
- Adaptability & Creative Thinking: You thrive in dynamic environments, iterating and evolving ideas to meet changing client needs. You bring creativity to the table and aren’t afraid to challenge the status quo.
- Planning & Delivery: You’re a natural organiser who keeps projects on track without losing sight of the bigger picture. You spot opportunities to streamline, improve, and deliver smarter—not just faster.
- Collaboration: You build strong, respectful relationships across teams and with clients. You know how to bring people together, break down silos, and make sure every voice is heard.
- Communication & Influence: You communicate with clarity and confidence, tailoring your message to different audiences and using data-driven storytelling to influence decisions.
What You’ll Bring (Technical Skills)
- 3–7 years of experience applying data science in a commercial or consultancy setting.
- Strong proficiency in SQL, Python and/or R.
- Experience with supervised/unsupervised learning, NLP, time series modelling, and cloud analytics platforms.
- Familiarity with deep learning and generative AI (e.g., LLMs).
- Skilled in dashboard development using Power BI, Tableau, or similar tools.
- Excellent communication and stakeholder management skills.
- A proactive, adaptable mindset with a focus on delivering client value.
Senior Data Scientist/ML engineer in Edinburgh employer: Optima Partners
Contact Detail:
Optima Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist/ML engineer in Edinburgh
✨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. Attend industry meetups or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your best work, especially those advanced machine learning models you've built. This will give you an edge when discussing your experience with clients and teams.
✨Tip Number 3
Practice your pitch! Be ready to explain complex data science concepts in simple terms. Tailor your communication style to your audience, whether they’re tech-savvy or not, to make a lasting impression.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Scientist/ML engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data science, machine learning, and any relevant tools like SQL or Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your passion for solving client challenges and how you’ve successfully delivered analytics solutions in the past. Keep it engaging and personal!
Showcase Your Communication Skills: Since you'll be communicating complex findings to various audiences, make sure your application reflects your ability to convey information clearly. Use straightforward language and examples that demonstrate your communication prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Optima Partners
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in SQL, Python, and R. Be ready to discuss your experience with machine learning techniques and how you've applied them in real-world scenarios. Prepare examples that showcase your problem-solving abilities and the impact of your work.
✨Communicate Like a Pro
Since you'll need to explain complex findings to both technical and non-technical audiences, practice simplifying your explanations. Use data-driven storytelling to illustrate your points and make sure you can adapt your communication style based on who you're speaking to.
✨Show Off Your Collaboration Skills
Highlight your experience working with cross-functional teams. Be prepared to share examples of how you've successfully led client engagements and collaborated with others to deliver high-quality outputs. Emphasise your ability to build strong relationships and break down silos.
✨Be Ready to Adapt
Demonstrate your adaptability and creative thinking by discussing how you've iterated on projects in response to changing client needs. Share specific instances where you've challenged the status quo and brought innovative solutions to the table.