Senior Data Scientist - Charing Cross

• We will design, develop, and deploy machine learning and AI models, including predictive models, NLP, computer vision, and recommender systems.
• We will explore, cleanse, and transform large structured and unstructured datasets.
• We will conduct statistical analysis, experiment design, feature engineering, and model evaluation.
• We will build scalable data pipelines and automate model training and inference processes.
• We will collaborate with engineering teams to integrate models into production systems.
• We will monitor model performance, detect drift, and implement continuous improvement strategies.
• We will communicate complex findings clearly to both technical and non-technical stakeholders.
• We will stay current with advancements in AI and ML, including LLMs, generative AI, and reinforcement learning, and evaluate their potential impact on products.

Technologies:

• AI
• Airflow
• AWS
• Azure
• Cloud
• Computer Vision
• GCP
• Kubeflow
• Machine Learning
• MLflow
• MLOps
• Model Training
• NoSQL
• PyTorch
• Python
• SQL
• TensorFlow
• numpy
• pandas
• Support

• We are seeking a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems.
• We are looking for someone who enjoys working in collaborative, agile teams and delivering high-quality solutions with tangible impact.
• We need strong communication skills and a consultative approach, with the ability to engage with clients, understand their needs, and translate them into effective outcomes.
• We are looking for someone who aligns with our values.
• Experience in machine learning, data science, or applied AI roles.
• Proficiency in Python and ML libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Strong understanding of statistics, ML algorithms, and model evaluation techniques.
• Experience working with cloud platforms such as AWS, Azure, or GCP and ML pipelines.
• Ability to analyse large datasets and communicate insights effectively.
• Experience with LLMs, generative AI, and prompt engineering.
• Knowledge of MLOps tools and frameworks such as MLflow, Kubeflow, and Airflow.
• Familiarity with SQL, NoSQL, and distributed data technologies.
• Experience deploying AI models in production environments.
• Publications, patents, or open-source contributions in ML/AI., We are Solirius Reply, part of the Reply Group, and we deliver technical consultancy and application delivery to help our clients solve real-world problems and respond to an ever-changing technical landscape. We work closely with our clients by embedding our consultants into their businesses to provide a bespoke service and better understand their needs. Our collaborative approach has supported rapid growth in recent years and will continue to drive our ambitious future plans. We have over 300 consultants working across public and private sector clients, including the Ministry of Justice, Department for Education, FCDOS, UEFA, the International Olympic Committee, and Mercedes Benz, with plans to expand further. We operate as a flat organisation and trust our people to work independently. We offer opportunities to work on a range of different projects, helping our consultants broaden their knowledge and grow their careers in the direction they choose. Our benefits include a

competitive salary, bonus scheme, private healthcare insurance, 25 days annual leave plus bank holidays, up to 10 days allocated for development training each year, enhanced parental leave, paid fertility leave, statutory and contributory pension, EAP with Help@Hand, gym membership benefits, flexible working, and annual away days/company socials. We are an equal opportunities employer and are committed to a work environment that supports, celebrates, encourages, and respects all individuals.