Senior Optimisation Scientist Job at Satalia (London)

Skin Bioassay Senior Scientist

We are seeking a Skin Bioassay Senior Scientist to join a growing CRO environmen...

Location

Nottingham

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Experience working with in vitro skin models
Experience developing RHE (Reconstructed Human Epidermis) models
Strong laboratory experience across cell-based assays and bioassays
Knowledge of ELISA, immunoassays, qPCR, and cell culture techniques
A practical, delivery-focused mindset with strong attention to detail

Job Responsibility

Develop and optimise in vitro skin models, including Reconstructed Human Epidermis (RHE) models and full-thickness systems
Design and execute cosmetic and skin-related bioassays
Analyse and interpret experimental data
Apply ELISA, immunoassays, qPCR, molecular biology workflows
Use imaging and histology-based approaches
Evaluate cosmetic formulations and active compounds
Investigate ageing processes, UV response, and key skin proteins
Deliver experimental work in line with project timelines
Prepare SOPs, reports, and technical documentation
Troubleshoot experiments and contribute to continuous improvement

Fulltime

Ophthalmology Bioassay Senior Scientist

We are seeking an Ophthalmology Bioassay Senior Scientist to join a growing, inn...

Location

United Kingdom , Nottingham

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Experience working with iPSC-derived systems and/or 3D organoid models (critical)
Strong laboratory experience across bioassays, imaging, and molecular biology techniques
Experience working with ocular models or strong transferable cell biology experience
A proactive, problem-solving mindset with the ability to work independently

Job Responsibility

Ocular Model Development: Develop and optimise human-relevant ocular disease models
Design and implement iPSC-derived systems, including retinal and epithelial models
Contribute to the development of complex 3D organoid and co-culture systems
Assay Development & Delivery: Design and execute bioassays relevant to ocular disease, including: Imaging and fluorescence-based assays, Immunoassays, Functional and translational assays
Analyse and interpret experimental data and present findings clearly to stakeholders
Molecular & Cell Biology: Apply molecular biology techniques including: Gene knockdown approaches (e.g. siRNA, shRNA)
Work with primary cells, cell lines, and stem-cell derived models
Support development of increasingly complex and physiologically relevant systems
Project Delivery & Growth: Support delivery of CRO projects across drug discovery programmes
Troubleshoot experimental challenges and drive continuous improvement

Fulltime

Senior Scientist - Downstream Analytics

Senior Scientist – Downstream Analytics (Large Molecules). We’re partnering with...

Location

United Kingdom , Southampton

Salary:

45000.00 - 55000.00 GBP / Year

Cranleigh STEM

Expiration Date

Until further notice

Requirements

A PhD (or equivalent experience) in Analytical Chemistry, Biochemistry, or a related field
Strong hands-on experience in HPLC and bioprocessing within a biotechnology, pharmaceutical, or life sciences environment
Knowledge of purification and characterisation methods for peptides, antibodies, or similar large molecules
Experience with TFF or tangential flow filtration (advantageous)
Familiarity with ISO or GMP-regulated environments
Ability to lead technical projects and support team development
Strong communication and problem-solving skills
A flexible, proactive mindset with strong attention to detail

Job Responsibility

Lead downstream analytical workflows using HPLC, UPLC, PAGE, flash chromatography, and related techniques
Contribute to the purification and characterisation of large molecules, such as peptides and antibodies
Support method development and continuous improvement in analytical approaches
Collaborate with chemistry and production teams to support small molecule and oligonucleotide preparation
Maintain, calibrate, and optimise analytical instrumentation in line with ISO and internal quality systems
Mentor and support Associate Scientists and Lab Technicians
Ensure accurate documentation and maintain data integrity across workflows
Promote and uphold Health, Safety, and Environmental (HSE) standards
Manage stock levels of analytical reagents and consumables
Stay up to date on emerging trends in bioprocessing and analytical technologies

What we offer

Holidays: 25 days annual leave + 8 bank holidays
Pension: 6% employer contribution
Life Assurance: 4x salary
Flexible working hours
Long service awards and recognition scheme
Employee Assistance Programme with 24/7 remote GP access
Annual flu vaccinations
Cycle to work scheme and gym discounts
Discounts and savings platform
Professional membership reimbursement

Fulltime

Senior Data Scientist

At Data Idols, we are working with a high-growth technology business using advan...

Location

United Kingdom , London

Salary:

100000.00 - 130000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Strong Python and SQL skills
Experience building machine learning models or scalable data products
Experience working with large or complex datasets
Strong communication and stakeholder management skills
Comfortable solving ambiguous business and technical problems
Experience in fast-paced, product-led or technology environments
Experience with geospatial, mapping, routing or operational data (desirable)

Job Responsibility

Define and deliver data products that support operational decision-making, optimisation and intelligent systems development
Work across large-scale datasets to uncover patterns, build predictive models and develop scalable data solutions that directly influence business performance and product strategy
Work closely with Engineering, Product and Data teams

Fulltime

Senior Data Scientist

At myPOS, we’re all about helping businesses grow and get paid. We make payments...

Location

Bulgaria , Sofia

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

MSc or PhD in Computer Science, Statistics, Applied Mathematics, Econometrics or a related quantitative field (or equivalent commercial experience)
7+ years of applied data science and ML experience in a commercial environment, with a strong portfolio of models in production that drove measurable business outcomes
Expert Python for data science and ML engineering: pandas, scikit-learn, XGBoost / LightGBM, PyTorch or TensorFlow
clean, tested, modular code as a default
Deep expertise across the ML methodological spectrum: survival analysis, time-series and sequence modelling, uplift and causal inference, anomaly detection, and recommendation systems
Proven end-to-end ownership of at least three of: CLTV models, churn models, propensity models, fraud/risk models, recommendation or NBA systems - in a production commercial setting
Strong MLOps capability: feature stores, model registries, model serving infrastructure, drift monitoring, and CI/CD for ML pipelines
Deep SQL and data platform proficiency (GCP / BigQuery strongly preferred)
experience with streaming architectures for real-time feature generation
Hands-on expertise building LLM-powered applications: RAG pipelines, tool-use agents, multi-agent orchestration, and agent evaluation frameworks

Job Responsibility

Own the full lifecycle of complex modelling programmes across Customer & Commercial Intelligence: CLTV, Churn Prediction, Propensity to Buy, and Next Most Likely Product (NMLP)
Architect multi-horizon churn models and build the churn intervention scoring layer that prioritises at-risk merchants for Account Management teams
Lead the NMLP engine — designing and productionizing a multi-output recommendation system that identifies the next product across myPOS's full catalogue
Take technical ownership of core fraud model components: transaction-level classifiers, merchant behaviour anomaly detectors, and new-account fraud scorers optimised for high-throughput, low-latency inference
Architect and own the Next Best Action (NBA) decisioning engine - a real-time system that selects the highest-expected-value action for each merchant at every interaction
Design and build production-grade agentic AI systems that automate high-value analytical and operational workflows
Define and execute experiment designs for online evaluation - A/B tests, uplift experiments, and bandits - and analyse results with statistical rigour
Set and enforce technical standards across the team: code quality, reproducibility, evaluation rigour, model documentation, and MLOps practices
Produce high-quality model documentation and present complex modelling work clearly to stakeholders across Sales, Marketing, Risk, Product, and Operations

What we offer

Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full "Luxury" package health insurance including dental care and optical glasses
Meal vouchers of 102.26 EUR per month
Fully covered Multisport card
Fully covered public transport pass for Sofia
Free coffee, snacks and drinks at the office
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning

Fulltime

Senior Data Scientist

The Senior Data Scientist will lead the development of advanced analytical and m...

Location

United Kingdom , West Midlands

Salary:

Not provided

AWTG

Expiration Date

Until further notice

Requirements

Strong experience delivering data science solutions in production-oriented or client delivery environments
Strong Python/R skills and practical knowledge of machine learning libraries and analytical tooling
Experience with model validation, performance assessment, reproducible coding and testing approaches
Ability to scope data science opportunities and translate them into achievable delivery plans
Strong communication skills, including explaining model outputs, assumptions and trade-offs
Good understanding of data engineering, data quality, privacy, ethics and responsible model use

Job Responsibility

Lead the design, development, validation and deployment support of data science models and analytical products
Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate
Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation
Work with data engineers and software teams to make data science outputs scalable, maintainable and usable
Communicate complex findings, uncertainty and limitations clearly to stakeholders and delivery teams
Promote responsible AI, data ethics, privacy and model governance within projects

Senior Data Scientist

As a Senior Data Scientist at myPOS, you will be the technical cornerstone of a ...

Location

Poland , Warsaw

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

MSc or PhD in Computer Science, Statistics, Applied Mathematics, Econometrics or a related quantitative field (or equivalent commercial experience)
7+ years of applied data science and ML experience in a commercial environment, with a strong portfolio of models in production that drove measurable business outcomes
Expert Python for data science and ML engineering: pandas, scikit-learn, XGBoost / LightGBM, PyTorch or TensorFlow
clean, tested, modular code as a default
Deep expertise across the ML methodological spectrum: survival analysis, time-series and sequence modelling, uplift and causal inference, anomaly detection, and recommendation systems
Proven end-to-end ownership of at least three of: CLTV models, churn models, propensity models, fraud/risk models, recommendation or NBA systems - in a production commercial setting
Strong MLOps capability: feature stores, model registries, model serving infrastructure, drift monitoring, and CI/CD for ML pipelines
Deep SQL and data platform proficiency (GCP / BigQuery strongly preferred)
experience with streaming architectures for real-time feature generation
Hands-on expertise building LLM-powered applications: RAG pipelines, tool-use agents, multi-agent orchestration, and agent evaluation frameworks

Job Responsibility

Own the full lifecycle of complex modelling programmes across Customer & Commercial Intelligence: CLTV, Churn Prediction, Propensity to Buy, and Next Most Likely Product (NMLP)
Architect multi-horizon churn models and build the churn intervention scoring layer that prioritises at-risk merchants for Account Management teams
Lead the NMLP engine - designing and productionizing a multi-output recommendation system that identifies the next product across myPOS's full catalogue
Take technical ownership of core fraud model components: transaction-level classifiers, merchant behaviour anomaly detectors, and new-account fraud scorers optimised for high-throughput, low-latency inference
Architect and own the Next Best Action (NBA) decisioning engine - a real-time system that selects the highest-expected-value action for each merchant at every interaction
Design and build production-grade agentic AI systems that automate high-value analytical and operational workflows
Define and execute experiment designs for online evaluation - A/B tests, uplift experiments, and bandits - and analyse results with statistical rigour
Set and enforce technical standards across the team: code quality, reproducibility, evaluation rigour, model documentation, and MLOps practices
Produce high-quality model documentation and present complex modelling work clearly to stakeholders across Sales, Marketing, Risk, Product, and Operations

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Senior Data Scientist

Senior Data Scientist at Cox Automotive Europe. The role is a senior individual ...

Location

United Kingdom , Manchester

Salary:

85000.00 GBP / Year

Pavers

Expiration Date

Until further notice

Requirements

Strong data science fundamentals — production-grade experience in machine learning, statistical modelling, time-series analysis or pricing/propensity modelling
Proven track record of building models that go into production and stay there — not just analysis, but deployable, monitored, maintainable outputs that a product team can rely on
Experience working in or very close to a commercial domain
Comfortable working independently at pace
Strong communication skills
Experience in automotive, vehicle remarketing, fleet management or fleet disposal
Familiarity with explainable AI techniques — SHAP, LIME, feature importance frameworks
MLOps experience — experiment tracking (MLflow, Weights & Biases), model monitoring, drift detection, automated retraining pipelines
Experience with Databricks or a comparable lakehouse platform
Python or R proficiency across the standard DS stack — pandas, scikit-learn, PyTorch or TensorFlow where relevant

Job Responsibility

Building and owning the core models that underpin the Decision Engine — pricing intelligence, stock segmentation, buyer behaviour profiling, and channel optimisation
Designing the framework that proves the Decision Engine works — counterfactual measurement
Building the trust layer with model explainability — reason codes, confidence indicators, contributing factors
Working alongside our Vehicle Data and Pricing capability to model OEM pricing decisions
Sharing knowledge, reviewing others' work, and helping build a culture where the team learns faster collectively

What we offer

Bonus
Competitive salary commensurate with senior experience

Fulltime

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Senior Optimisation Scientist

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