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- Tasks: Join us as a Data Science Consultant, delivering impactful ML and analytics solutions to clients.
- Company: BlueOptima is a global leader in optimising software engineering performance with innovative metrics.
- Benefits: Enjoy hybrid working, 32 days holiday, top-notch equipment, and generous parental leave.
- Why this job: Be part of a creative team, grow rapidly, and make a real impact in a high-performance culture.
- Qualifications: 1-2 years in data science or analytics; skilled in Python, BI tools, and stakeholder communication.
- Other info: Work in a diverse environment with opportunities for personal development and career progression.
The predicted salary is between 36000 - 60000 £ per year.
BlueOptima’s vision is to become the global reference for the optimisation of the performance of Software Engineers across all industries.
We provide industry-leading objective metrics in software development. We enable large organisations to deliver better software, faster and at lower cost, with technology that pushes the limits of what has been done before.
We currently are located in 4 countries: London (our HQ), Mexico, India, and US. A total number of 110+ employees from different nationalities and with over 25 languages spoken. We promote an open minded environment and encourage our employees to create their own success story in this high performance environment.
Location: London, United Kingdom
Department: Professional Services
Job Description
Job summary: We are seeking a Professional Services Consultant to join our consulting practice. This role blends technical depth with strategic consulting, enabling our clients to unlock value from their data by delivering scalable, production-ready ML and analytics solutions.
You will build and deliver machine learning and data-driven solutions that create measurable business impact for our enterprise clients. As a trusted advisor, you will play an active role not just in delivery, but also in scoping engagements, supporting proposals and SOWs, and contributing to go-to-market activities. Your technical skills in Python, machine learning, and data engineering will be matched by your ability to consult, influence, and communicate clearly with stakeholders.
This role is ideal for candidates who thrive at the intersection of technical delivery and client consulting in a fast-paced, high-expectation environment.
Your team:
You will be part of the Professional Services team within our Engineering division, a group of hands-on consultants and technical experts who deliver scalable, production-ready data and machine learning solutions to our clients.
Responsibilities and tasks:
Understand the client requirements and provide strong recommendations for delivering value in a structured way.
Lead the presentation to the client, clearly articulate the value of the deliverables and explain the suggested approach.
Support the translation of customer proposals into clear, scoped Statements of Work under guidance, ensuring alignment with customer needs.
Validates datasets, calculates KPI’s, supports data acquisition, and generates reports.
Automates data collection from internal sources and analyzes patterns across data sets.
Design reporting and validate the solution with client stakeholders
Owns and is accountable for the quality and delivery of their work.
Provides enterprise level analysis on the BlueOptima data set to inform workforce strategies and strategic planning for the development organization to drive cost savings, operational efficiencies, and productivity improvement.
Deliver research articles and blogs to support strategic initiatives.
Drive revenue growth by identifying and executing upsell opportunities within own active customer engagements.
Qualifications
Computer Science, Software Engineering and basic finance knowledge.
What You Need to Succeed at BlueOptima:
You bring 1-2 years of hands-on experience delivering data science, machine learning, or analytics solutions in a professional or enterprise setting.
Skilled in stakeholder communication, especially in presenting findings and model results in a clear, tailored format to internal and external stakeholders, aligning with business objectives.
Skilled in generating and delivering executive-ready presentations that translate technical insights into clear business value for C-suite stakeholders and decision-makers.
Experienced in using BI tools such as Tableau or Microsoft Power BI.
Proficient in Python with strong experience in libraries such as pandas, scikit-learn, and xgboost, and writing clean, modular, and reusable code.
Experienced in deploying Python scripts and ML workloads.
Familiarity with SQL, including writing complex queries with Common Table Expressions (CTEs), and performance-aware joins across large-scale datasets.
Comfortable operating in client-facing, consulting-style environments, where ambiguity is common and solutions must balance rigor with speed and impact.
Good to have:
Understanding of software engineering fundamentals, including:
SDLC methodologies (Agile, Scrum, or Waterfall)
CI/CD workflows for deploying analytics or ML solutions
Use of Version Control Systems (e.g., Git, GitHub) for collaborative development
Your career progression: In BlueOptima, we strive to strengthen your skills, widen your scope of work and develop your career fast. In this role, you’ll have the opportunity to grow as a senior individual contributor by leading client engagements that deliver increasing strategic value.
Additional Information
Why join our team?
Culture and Growth:
Global team with a creative, innovative and welcoming mindset.
Rapid career growth and opportunity to be an outstanding and visible contributor to the company\’s success.
Freedom to create your own success story in a high performance environment.
Training programs and Personal Development Plans for each employee
32 days of holidays (including 8 bank holidays)
Annual Leave Purchase
Hybrid working – 2 days remote and 3 days in the office each week
Flexible Work from Long Distance – 4 weeks a year
Top of the line equipment (i.e. laptop, headset, desk gaming monitor)
Office in Elephant and Castle with free drinks and snacks
12 Weeks Paid Maternity and Paternity Leave
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Data Science Consultant employer: BlueOptima
Contact Detail:
BlueOptima Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant
✨Tip Number 1
Familiarise yourself with BlueOptima's mission and values. Understanding their vision for optimising software engineer performance will help you align your responses during interviews and demonstrate your enthusiasm for their goals.
✨Tip Number 2
Brush up on your technical skills, especially in Python and machine learning libraries like pandas and scikit-learn. Be prepared to discuss specific projects where you've applied these skills, as practical examples can set you apart from other candidates.
✨Tip Number 3
Practice your stakeholder communication skills. Since the role involves presenting findings to clients, being able to clearly articulate complex data insights in a way that resonates with business objectives is crucial.
✨Tip Number 4
Research common BI tools like Tableau or Microsoft Power BI. Being able to discuss how you've used these tools to create impactful visualisations will show your readiness to contribute to the team immediately.
We think you need these skills to ace Data Science Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and analytics. Emphasise your technical skills in Python and any BI tools you've used, as well as your ability to communicate findings effectively.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at BlueOptima. Discuss how your background aligns with their vision of optimising software performance and how you can contribute to their consulting practice.
Showcase Your Projects: Include specific examples of projects where you've delivered data-driven solutions or machine learning models. Highlight the impact these projects had on business outcomes, especially in a client-facing environment.
Prepare for Technical Questions: Be ready to discuss your technical expertise in Python, SQL, and data engineering during the interview process. Prepare to explain your approach to solving complex problems and how you communicate technical insights to stakeholders.
How to prepare for a job interview at BlueOptima
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning, and data engineering. Bring examples of projects you've worked on that demonstrate your ability to deliver data-driven solutions, and be ready to explain the technical details in a way that aligns with business objectives.
✨Communicate Clearly with Stakeholders
Practice articulating complex technical concepts in simple terms. During the interview, focus on how you can tailor your communication style to different audiences, especially when presenting findings to C-suite stakeholders.
✨Prepare for Client-Facing Scenarios
Since this role involves consulting, think about past experiences where you've had to navigate ambiguity or client expectations. Be ready to discuss how you approached these situations and what strategies you used to ensure successful outcomes.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your analytical thinking and problem-solving abilities. Prepare to discuss specific challenges you've faced in previous roles and how you overcame them, particularly in delivering scalable ML and analytics solutions.
