The Data Scientist will engage with external clients and internal customers, understand their needs, and deliver insights, recommendations and tools to shape their actions.

With a focus on optimisation techniques and GCP implementation, you will drive innovative solutions while mentoring up to two junior data scientists or interns within the team.

Responsibilities:

Engage with clients to understand their business objectives, data landscape, and analytical requirements. Act as a trusted advisor to recommend data-driven solutions that align with their strategic goals.
Delivery of both ad-hoc analysis requests from external Clients and internal customers, as well as proactive value-add research delivered through documents, dashboards, presentations, etc.
Apply advanced statistical, optimisation and machine learning techniques to analyse large datasets and derive meaningful insights. Develop predictive models, optimisation algorithms, and data visualisations to solve complex business problems.
Formulate real-world problems as mathematical optimisation models, accounting for constraints, uncertainties, and multiple objectives.
Design end-to-end data science solutions tailored to the specific needs of each client, with particular focus on optimisation approaches. Collaborate with cross-functional teams to integrate analytical models into client systems and processes using GCP.
Develop innovative optimisation concepts and drive them towards implementation with growing self-sufficiency.
Mentor junior data scientists, sharing expertise in optimisation techniques and GCP implementation.
Share data science knowledge with wider functions, transforming raw data into useful and analysable derived data sets and develop re-usable analytical and visualisation methods.

Qualifications:

BSc/MSc/PhD in Maths, Statistics, Operations Research, Data Science, Computer Science, or related field, or equivalent work experience.
6+ years as a Data Scientist or similar role, ideally in consulting or client-facing environments.

Core Expertise:

Optimisation techniques: linear, integer, mixed-integer programming; non-linear optimisation; metaheuristics (genetic algorithms, simulated annealing, particle swarm optimisation); constraint programming; multi-objective and stochastic optimisation.
Solving business problems such as resource allocation, scheduling, supply chain optimisation, network design, portfolio optimisation, pricing, and revenue management.
Optimisation frameworks in Python: PuLP, CVXPY, Pyomo, DEAP, PyGAD, SciPy, Google OR-Tools, Gurobi, CPLEX, CBC solvers.

Technical Skills:

Advanced data science coding in Python, R, SQL.
GCP and its data science tools (BigQuery, AI Platform, Dataflow, Dataproc) for scaling optimisation workloads.
Implementing optimisation solutions as microservices/APIs in production.
Deploying ML models and advanced analytics in GCP cloud environments (GCP certifications advantageous).

Additional Skills:

Translating complex optimisation results into actionable insights for non-technical stakeholders.
Creating effective visualisations of optimisation outcomes and trade-offs.
Strong communication skills and ability to work towards innovative solutions with guidance.

What We Offer

Competitive compensation package.
Corporate learning programs and certifications.
Medical Insurance.
Flexible working environment (remote/hybrid).
Career growth opportunities in a global team.

We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the next steps. Thank you for your understanding.