At a Glance
- Tasks: Design and implement machine learning models to solve real-world business challenges.
- Company: Join Squarcle, a people-first consultancy focused on digital transformation.
- Benefits: Enjoy generous leave, private medical insurance, and performance rewards.
- Why this job: Make an impact in a dynamic environment while developing your skills.
- Qualifications: BSc/BA in a technical field with strong Python and data analysis skills.
- Other info: Be part of a diverse team committed to continuous learning and growth.
The predicted salary is between 36000 - 60000 £ per year.
About Squarcle / The Team
Squarcle is a growing strategy, operations and digital consultancy dedicated to driving the performance of our clients. We are people orientated and pride ourselves on our people-first culture. Unlike many consultancies, Squarcle is as equally dedicated to delivery as it is to design. The Technology and Digital department, led by the Head of Digital, is responsible for providing expert technology and digitisation strategy, operational optimisation and analysis advice to clients operating within a fast-moving global environment. The team is made up of subject matter experts that work to a manager to deliver the client and internal Squarcle mandate. Working together but often independently, each team member will be expected to work onsite and remotely with the client, on complex and exciting big data and digital challenges. Squarcle is committed to equality and diversity, and our aim is to build a diverse, dedicated, and high-performing team of subject matter experts to help our clients achieve supply chain and operational excellence.
Job Overview / Introduction
The Data Science Senior Consultant reports to a manager and is responsible for the provision of independent expert advice to help identify and solve data science and digital challenges, increase value, and maximise business efficiency and profitability. Using established processes whilst working with the client’s senior leadership and support staff, the consultant will assist in the creation of digital strategies, processes optimisation and identifying technology solutions to meet client needs.
Primary Roles And Responsibilities
- Designing and implementing machine learning models and algorithms for predictive and prescriptive analytics.
- Developing data-driven solutions to address business challenges and support decision-making processes.
- Translating complex, real-world business problems into mathematical models using variables, constraints, and objective functions.
- Utilising optimisation solvers (e.g., Gurobi, CPLEX, OR-Tools) to solve NP-hard problems involving discrete choices and constraints.
- Building scalable, production-ready pipelines and integrating models into live client-facing systems.
- Developing linear, non-linear, stochastic, and heuristic-based models.
- Working with product squads, engineers, and stakeholders to define business goals and translate them into actionable, data-driven decisions.
- Monitoring models for speed, robustness, and precision, troubleshooting slow convergence, and iterating on algorithms.
- Produce project plans, designs and prototype solutions to demonstrate early benefit and value.
- Work in an Agile manner, collaborating closely with clients and colleagues to iteratively refine and deliver the solution within the Discovery – Alpha – Beta – Live delivery model aligned to GDS standards.
- Ensure appropriate Agile ceremonies are performed and necessary information (e.g. progress, releases, risks, issues) is shared with the project manager and other stakeholders.
- Work effectively in diverse teams within an inclusive team culture where people are recognised for their contribution.
- Assist the Head of Digital in developing Squarcle’s Technology and Digital capabilities.
- Conduct performance reviews and annual appraisals for all direct reports.
- Lead, coach and mentor team members.
Secondary Roles And Responsibilities
- Commit to continuous development by supporting the organisation of team events, training sessions and recruitment activities.
- Carry out other duties as specified by the Manager.
- Deputise for the Manager during periods of absence.
Essential KNOWLEDGE, SKILLS & EXPERIENCE
- BSc/BA in Computer Science, Engineering or a related analytical or technical field.
- Python programming skills and proficiency with essential libraries, e.g. pandas, numpy, pytorch.
- Strong data modelling and analysis skills.
- Traditional machine learning experience (e.g. regression, clustering, classification, mixed integer programming).
- Strong experience with mixed integer programming (MIP) and mathematical optimisation techniques.
- Practical experience using optimisation solvers (e.g. Gurobi, CPLEX, OR-Tools or similar).
- Experience deploying optimisation or analytical models into production environments.
- Software development best practices.
- Version control practices with Git.
- Exceptional problem-solving skills – an analytical, innovative, and creative mindset.
- Well-developed core consulting skills e.g. research, analysis, presentation, and attention to detail.
- Excellent inter-personal and communication skills, both written and verbal.
- Ability to be self-directed and be an independent contributor to the team.
- Intellectual curiosity, exceptional client service, and a strong work ethic.
- A team player dedicated to contributing toward the outcome desired by the team.
- Ability to adapt to rapidly changing circumstances and to think creatively to solve client issues.
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is a security check.
DESIRABLE
- An understanding of Defence supply chain and/or Defence Digital infrastructure and constraints.
- AI software development experience, e.g. genAI / LLM applications.
What we offer
- Generous leave package: 26 days of annual leave (including your birthday!) plus UK bank holidays — increasing to 27 days after three years, and 28 after seven years. You’ll also get five extra days for your five and 10-year anniversaries. Additional leave for members of the Reserve Forces and CFAV.
- Private medical insurance provided once you’ve completed your probation.
- Recognition and rewards: £1,000 referral bonus for successful hires, performance-related awards, milestone and life-event hampers to celebrate life’s big moments.
- Development & learning: Annual training week abroad, funding for qualifications that benefit both you and the business.
- Travel & wellbeing: Cycle to work scheme, discounted travel through funded railcards.
- Pension: Our pension provider is NOW Pensions, pension contributions are 3% employer and 5% employee.
We review our benefits regularly to ensure they stay competitive and meaningful – so this list may evolve as we grow. Our working hours are 8:30 am – 5:30 pm (with an hour for lunch), Monday – Friday.
Apply now and take the next step toward doing work that matters, with a team that’s shaping the future of supply chain consulting.
IMPORTANT INFORMATION
This role requires you to have lived in the UK for the last 5 years and obtain Security Check (SC) security clearance. Clearance must be obtained without any caveats that prevent you from carrying out the role you’ve been recruited for. If it isn’t obtained, or is obtained but with caveats that prevent you from carrying out the role, any conditional offer made to you will be withdrawn. Obtaining SC security clearance can be a lengthy process, and we reserve the right to withdraw any conditional offer made if the necessary security clearance isn’t obtained within 6 months. If you hold dual citizenship or nationality from another country, please make us aware of this during the application phase. We’re unable to offer visa sponsorship.
Privacy Policy - Squarcle Consulting Ltd
We’re committed to creating a diverse environment. We embrace differences and hire based on merit, giving equal consideration to all applications, regardless of gender, background, and race.
Data Scientist Senior Consultant employer: Squarcle
Contact Detail:
Squarcle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Senior Consultant
✨Tip Number 1
Network like a pro! Reach out to current employees at Squarcle on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with machine learning models and optimisation techniques, as these are key for the Data Scientist role.
✨Tip Number 3
Show off your problem-solving skills during interviews! Use real-world examples to demonstrate how you've tackled complex data challenges in the past. This will help you stand out as a candidate.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Squarcle team.
We think you need these skills to ace Data Scientist Senior Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist Senior Consultant role. Highlight relevant experience, especially in machine learning and optimisation techniques, and don’t forget to showcase your problem-solving skills!
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 skills align with Squarcle’s mission. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool projects or have experience with optimisation solvers like Gurobi or CPLEX, make sure to mention them. We want to see how you’ve tackled real-world problems and what impact you made!
Apply Through Our Website: Don’t forget to apply 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 team at Squarcle!
How to prepare for a job interview at Squarcle
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and optimisation techniques. Be ready to discuss your experience with tools like Gurobi or CPLEX, and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical mindset.
✨Understand Their Culture
Squarcle prides itself on a people-first culture, so be sure to convey your team spirit and adaptability. Think about how you can demonstrate your commitment to collaboration and inclusivity during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in Squarcle's projects and values. Inquire about their approach to digital transformation and how they support continuous development within the team. This will not only impress them but also help you gauge if it's the right fit for you.