Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Key requirements BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
May 18, 2024
Contractor
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Key requirements BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Senior Data Scientist - Windsor/Hybrid - 65-75K Austin Fraser is currently supporting a leading company in the food industry that improves the efficiency, quality and safety of food production. They are now looking to on board an experienced Senior Data Scientist on a permanent basis. This is a fantastic opportunity to work with cutting-edge technology in a rapidly growing environment. Location: Windsor / 1 day on site per week. Salary: up to 75K depending on experience. Requirements: Previous experience working as a Data Scientist or Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
May 17, 2024
Full time
Senior Data Scientist - Windsor/Hybrid - 65-75K Austin Fraser is currently supporting a leading company in the food industry that improves the efficiency, quality and safety of food production. They are now looking to on board an experienced Senior Data Scientist on a permanent basis. This is a fantastic opportunity to work with cutting-edge technology in a rapidly growing environment. Location: Windsor / 1 day on site per week. Salary: up to 75K depending on experience. Requirements: Previous experience working as a Data Scientist or Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
May 17, 2024
Full time
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Job Description The Specialized Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. The successful candidate will work as an analytical individual contributor under Institutional Credit Management - Portfolio Management - Analytics and Infrastructure Data Science team. The team is staffed with a group of data, analytics, Artificial Intelligence and technology professionals from multiple geo-locations: London, Singapore and Hong Kong. The team serves a in-business analytics and technology function to provide best-in-class analytics and AI solution and implementation for other ICM PM functions comprised of subject matter expert from Credit Risk and Business domain including Portfolio Health Monitoring, Covenant Monitoring, Exception Management, Limits Management, Early Warning Credit Management and Counterparty Credit Risk. Responsibilities Drive AI/Machine Learning development and implementation especially around Generative AI Large Language Model for Wholesale Lending and Counterparty Credit Risk analytics. Work independently or collaboratively (depending on the circumstance) to help business stakeholders to identify analytical/technical opportunities to improve the existing process or address existing pain points. Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of credit risk strategies using a variety of programing and AI tools (e.g. SQL, Python, C, Spark, Sikilearn, Tensorflow, PyTorch, HuggingFace, Large Language Model etc.). Design and implement Early Warning Indicators for Credit Risk, Counterparty Risk, Portfolio Health, Covenant Monitoring using either traditional statistical approach or advanced AI/ML modeling, graph analytics approach. Design and implement statistical and risk-driven solution for Limits Management and Exception Management. Be actively involved in and responsible for elements of the design / implementation / coding of feature driven analytic models, including data structure / design to support the delivery of such. Responsible for all the Risk and Controls requirement in analytics or technical process such as documentation, testing, and ongoing performance monitoring. Qualifications 6-10 years of working experience in AI/ML domain preferably in Finance/Risk analytics field Must have demonstrated ability in programing skills using Python/C/SQL/Spark for data processing and data analytics. Must have solid knowledge and implementation experience of basic AI/Machine Learning such as Logistics Regression, Support Vector Machine, Random Forrest, Isolation Forrest, XGBoost. Must have solid knowledge and implementation experience of Large Language Model pipeline: Pre-trained LLM (such as Llama, Mistral), GPT, RAG, Fine-tuning, Prompt Engineering. Vector DB, LangChain, LlamaIndex etc. Working knowledge of Graph Analytics and the relevant tools such as TigerGraph, Neo4j etc. will be a huge plus. Working experience in Wholesale Credit Risk (Lending or Counterparty) analytics is not a must but a plus. Excellent analytic ability and problem solving skills. Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment Education • Bachelors/University degree, Master's degree preferred Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
May 17, 2024
Full time
Job Description The Specialized Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. The successful candidate will work as an analytical individual contributor under Institutional Credit Management - Portfolio Management - Analytics and Infrastructure Data Science team. The team is staffed with a group of data, analytics, Artificial Intelligence and technology professionals from multiple geo-locations: London, Singapore and Hong Kong. The team serves a in-business analytics and technology function to provide best-in-class analytics and AI solution and implementation for other ICM PM functions comprised of subject matter expert from Credit Risk and Business domain including Portfolio Health Monitoring, Covenant Monitoring, Exception Management, Limits Management, Early Warning Credit Management and Counterparty Credit Risk. Responsibilities Drive AI/Machine Learning development and implementation especially around Generative AI Large Language Model for Wholesale Lending and Counterparty Credit Risk analytics. Work independently or collaboratively (depending on the circumstance) to help business stakeholders to identify analytical/technical opportunities to improve the existing process or address existing pain points. Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of credit risk strategies using a variety of programing and AI tools (e.g. SQL, Python, C, Spark, Sikilearn, Tensorflow, PyTorch, HuggingFace, Large Language Model etc.). Design and implement Early Warning Indicators for Credit Risk, Counterparty Risk, Portfolio Health, Covenant Monitoring using either traditional statistical approach or advanced AI/ML modeling, graph analytics approach. Design and implement statistical and risk-driven solution for Limits Management and Exception Management. Be actively involved in and responsible for elements of the design / implementation / coding of feature driven analytic models, including data structure / design to support the delivery of such. Responsible for all the Risk and Controls requirement in analytics or technical process such as documentation, testing, and ongoing performance monitoring. Qualifications 6-10 years of working experience in AI/ML domain preferably in Finance/Risk analytics field Must have demonstrated ability in programing skills using Python/C/SQL/Spark for data processing and data analytics. Must have solid knowledge and implementation experience of basic AI/Machine Learning such as Logistics Regression, Support Vector Machine, Random Forrest, Isolation Forrest, XGBoost. Must have solid knowledge and implementation experience of Large Language Model pipeline: Pre-trained LLM (such as Llama, Mistral), GPT, RAG, Fine-tuning, Prompt Engineering. Vector DB, LangChain, LlamaIndex etc. Working knowledge of Graph Analytics and the relevant tools such as TigerGraph, Neo4j etc. will be a huge plus. Working experience in Wholesale Credit Risk (Lending or Counterparty) analytics is not a must but a plus. Excellent analytic ability and problem solving skills. Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment Education • Bachelors/University degree, Master's degree preferred Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
Job title: Senior Machine Learning Scientist Location: Flexible Role overview Markerstudy Group have a very exciting opportunity for a Senior Machine Learning Scientist to support the delivery and deployment of Insurance Claims and Operations use cases. You will have the technical support of an established machine learning function, to then create fully automated machine learning pipelines. You will be supported by an Operations Insight function that have vast experience in the delivery, evaluation, and performance tracking of machine learning models. The role will be working in an exciting, diverse and changeable environment, key stakeholders will be across Broker Services, Customer & Third Party Claims, Counter Fraud and Continuous Improvement. Responsibilities: Adhering to best practice, covering all aspects of machine learning, ensuring policies and procedures are adhered to Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standard Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipelines using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Mentor and coach, a small, specialized team of junior machine learning specialists and insight analysts Key Skills and Experience: Experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, Clustering, Isolation Forest, SVMs, NLP Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Ability to demonstrate that bias and ethics have been considered throughout the model build and deployment Ability to track model performance including degradation and provide a clear and concise view on explainability Proficient at communicating results in a concise manner both verbally and written Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
May 16, 2024
Full time
Job title: Senior Machine Learning Scientist Location: Flexible Role overview Markerstudy Group have a very exciting opportunity for a Senior Machine Learning Scientist to support the delivery and deployment of Insurance Claims and Operations use cases. You will have the technical support of an established machine learning function, to then create fully automated machine learning pipelines. You will be supported by an Operations Insight function that have vast experience in the delivery, evaluation, and performance tracking of machine learning models. The role will be working in an exciting, diverse and changeable environment, key stakeholders will be across Broker Services, Customer & Third Party Claims, Counter Fraud and Continuous Improvement. Responsibilities: Adhering to best practice, covering all aspects of machine learning, ensuring policies and procedures are adhered to Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standard Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipelines using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Mentor and coach, a small, specialized team of junior machine learning specialists and insight analysts Key Skills and Experience: Experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, Clustering, Isolation Forest, SVMs, NLP Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Ability to demonstrate that bias and ethics have been considered throughout the model build and deployment Ability to track model performance including degradation and provide a clear and concise view on explainability Proficient at communicating results in a concise manner both verbally and written Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a small team of 2 in Data and a wider company of 14 employees. They are the type of business who enjoy discussing scientific research projects over lunch They plan on securing series A funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data Scientist You'll have incredibly strong modelling skills but know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that interests you, then this opportunity is for you.
May 16, 2024
Full time
Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a small team of 2 in Data and a wider company of 14 employees. They are the type of business who enjoy discussing scientific research projects over lunch They plan on securing series A funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data Scientist You'll have incredibly strong modelling skills but know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that interests you, then this opportunity is for you.
Click to copy 6 years Experience Full Time Job Type London Job Location Onsite Workspace Type Job Title: Senior Data Scientist Location: London Job Overview: We are seeking an experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have a minimum of 6.0 years of experience in data science, with a strong background in Python, SQL, BigQuery, and TensorFlow. This is an exciting opportunity for someone who enjoys working with large datasets, developing predictive models, and extracting valuable insights to drive business decisions. Responsibilities: - Design, develop, and implement machine learning models using Python and TensorFlow - Query large datasets from BigQuery and other databases using SQL - Collaborate with cross-functional teams to define, design, and ship new features - Develop dashboards and reports using Power BI or similar tools - Communicate complex data analysis results to various stakeholders in the organization Requirements: - Minimum of 6.0 years of experience as a Data Scientist or equivalent - Advanced knowledge of Python programming language - Strong SQL skills for querying large datasets - Experience with BigQuery and other big data platforms - Proficient in using TensorFlow for machine learning model development - Experience with Power BI or similar business intelligence tools is a plus - Excellent communication skills, both written and verbal - Ability to work independently as well as collaboratively in a team environment Benefits: - Competitive salary and benefits package - Opportunity to work on innovative projects using the latest technologies - Collaborative and supportive work environment - Regular opportunities for professional development and growth If you are an experienced Senior Data Scientist looking to join a dynamic and growing team, we encourage you to apply. Please submit your resume and cover letter detailing your experience and qualifications. We look forward to reviewing your application Skills Skills Mandatory Skills SQL TensorFlow BigQuery Python Good To Have Skills Power BI Data Analytics
May 16, 2024
Full time
Click to copy 6 years Experience Full Time Job Type London Job Location Onsite Workspace Type Job Title: Senior Data Scientist Location: London Job Overview: We are seeking an experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have a minimum of 6.0 years of experience in data science, with a strong background in Python, SQL, BigQuery, and TensorFlow. This is an exciting opportunity for someone who enjoys working with large datasets, developing predictive models, and extracting valuable insights to drive business decisions. Responsibilities: - Design, develop, and implement machine learning models using Python and TensorFlow - Query large datasets from BigQuery and other databases using SQL - Collaborate with cross-functional teams to define, design, and ship new features - Develop dashboards and reports using Power BI or similar tools - Communicate complex data analysis results to various stakeholders in the organization Requirements: - Minimum of 6.0 years of experience as a Data Scientist or equivalent - Advanced knowledge of Python programming language - Strong SQL skills for querying large datasets - Experience with BigQuery and other big data platforms - Proficient in using TensorFlow for machine learning model development - Experience with Power BI or similar business intelligence tools is a plus - Excellent communication skills, both written and verbal - Ability to work independently as well as collaboratively in a team environment Benefits: - Competitive salary and benefits package - Opportunity to work on innovative projects using the latest technologies - Collaborative and supportive work environment - Regular opportunities for professional development and growth If you are an experienced Senior Data Scientist looking to join a dynamic and growing team, we encourage you to apply. Please submit your resume and cover letter detailing your experience and qualifications. We look forward to reviewing your application Skills Skills Mandatory Skills SQL TensorFlow BigQuery Python Good To Have Skills Power BI Data Analytics
Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing An exciting AI content platform are in growth mode at the moment, and looking to welcome a Senior Data Scientist to the team! They focus around the use of Generative AI to create marketing messages whilst also adhering to brand compliance, and need to bring on-board a new Senior Data Scientist to the team with strengths in NLP/LLMs, Python (and its packages), a background in academic research, and ideally 5+ years of experience in a commercial setting too! 5+ years experience as a Data Scientist Proven expertise with deep learning, NLP, and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL, Python (Pandas, Scikit-Learn, PyTorch) PhD-level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could be of interest and fits your skill-set, please apply below and I'll be in touch!
May 16, 2024
Full time
Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing An exciting AI content platform are in growth mode at the moment, and looking to welcome a Senior Data Scientist to the team! They focus around the use of Generative AI to create marketing messages whilst also adhering to brand compliance, and need to bring on-board a new Senior Data Scientist to the team with strengths in NLP/LLMs, Python (and its packages), a background in academic research, and ideally 5+ years of experience in a commercial setting too! 5+ years experience as a Data Scientist Proven expertise with deep learning, NLP, and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL, Python (Pandas, Scikit-Learn, PyTorch) PhD-level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could be of interest and fits your skill-set, please apply below and I'll be in touch!
Our client is seeking a highly skilled Data Scientist to join their dynamic and innovative team. This role offers the opportunity to work on complex, global, and high-profile projects, combining end-to-end risk advisory, investigative, and disputes expertise to deliver holistic solutions. The successful candidate will utilise sophisticated mathematical, statistical, and computer science techniques, including Artificial Intelligence (AI), machine learning (ML), and algorithmic approaches. This is an exciting opportunity to be at the forefront of technological developments in this space, evolving with cutting-edge advancements and playing a pivotal role in the company's research and development arm. Work on complex, global, and high-profile projectsUtilise sophisticated AI/ML methodologiesBe at the forefront of technological developments What you'll do: As a Data Scientist, you will be involved in all stages of a project from data collection to platform development. You will perform data availability assessments, write SQL queries or scripts to query APIs, perform exploratory data analysis, develop robust models and statistical analyses, build complete pipelines potentially working alongside engineers/developers, communicate findings to clients, and incorporate their feedback/domain knowledge to tune a model. You will also support engineers/developers/UI team in building end-to-end solutions. Perform data availability/quality assessment and own ETL processes Research and acquire data from public sources Perform exploratory data analysis, visualize and communicate key findings Develop robust models and statistical analyses Build complete pipelines and test performance at scale Communicate findings to clients and incorporate their feedback to tune a model What you bring: The ideal candidate for the Data Scientist role will bring a wealth of technical skills and experience. She should have a degree within a technical discipline such as Math, Physics, Computer Science, Statistics or Economics or demonstrated practical technical experience. She should have at least three years of experience working in a data analytics or data-centric role. Proficiency in SQL and Python is essential. Knowledge of AI/ML concepts and techniques is required along with experience with data wrangling/cleaning in a dataframe package like Python's pandas. The ability to work with Linux/ nix systems, bash scripting, SSH is also necessary. Degree within a technical discipline such as Math, Physics, Computer Science, Statistics or Economics or demonstrated practical technical experience At least three years of experience working in a data analytics or data-centric role Proficiency in SQL and Python Knowledge of AI/ML concepts and techniques Experience with data wrangling/cleaning in a dataframe package like Python's pandas Ability to work with Linux/ nix systems, bash scripting, SSH What sets this company apart: Our client is a global leader in the field of data science and analytics. They are committed to delivering innovative solutions to complex business challenges for a diverse range of clients. Their team is at the forefront of technological developments, continuously evolving with cutting-edge advancements. They offer a supportive and inclusive work environment where every team member's contribution is valued. This is an exciting opportunity to be part of a company that values innovation, collaboration, and professional growth. What's next: If you're ready to take your career to the next level with a role that offers challenge, innovation and professional growth, don't hesitate! Apply today by clicking on the link! Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
May 15, 2024
Full time
Our client is seeking a highly skilled Data Scientist to join their dynamic and innovative team. This role offers the opportunity to work on complex, global, and high-profile projects, combining end-to-end risk advisory, investigative, and disputes expertise to deliver holistic solutions. The successful candidate will utilise sophisticated mathematical, statistical, and computer science techniques, including Artificial Intelligence (AI), machine learning (ML), and algorithmic approaches. This is an exciting opportunity to be at the forefront of technological developments in this space, evolving with cutting-edge advancements and playing a pivotal role in the company's research and development arm. Work on complex, global, and high-profile projectsUtilise sophisticated AI/ML methodologiesBe at the forefront of technological developments What you'll do: As a Data Scientist, you will be involved in all stages of a project from data collection to platform development. You will perform data availability assessments, write SQL queries or scripts to query APIs, perform exploratory data analysis, develop robust models and statistical analyses, build complete pipelines potentially working alongside engineers/developers, communicate findings to clients, and incorporate their feedback/domain knowledge to tune a model. You will also support engineers/developers/UI team in building end-to-end solutions. Perform data availability/quality assessment and own ETL processes Research and acquire data from public sources Perform exploratory data analysis, visualize and communicate key findings Develop robust models and statistical analyses Build complete pipelines and test performance at scale Communicate findings to clients and incorporate their feedback to tune a model What you bring: The ideal candidate for the Data Scientist role will bring a wealth of technical skills and experience. She should have a degree within a technical discipline such as Math, Physics, Computer Science, Statistics or Economics or demonstrated practical technical experience. She should have at least three years of experience working in a data analytics or data-centric role. Proficiency in SQL and Python is essential. Knowledge of AI/ML concepts and techniques is required along with experience with data wrangling/cleaning in a dataframe package like Python's pandas. The ability to work with Linux/ nix systems, bash scripting, SSH is also necessary. Degree within a technical discipline such as Math, Physics, Computer Science, Statistics or Economics or demonstrated practical technical experience At least three years of experience working in a data analytics or data-centric role Proficiency in SQL and Python Knowledge of AI/ML concepts and techniques Experience with data wrangling/cleaning in a dataframe package like Python's pandas Ability to work with Linux/ nix systems, bash scripting, SSH What sets this company apart: Our client is a global leader in the field of data science and analytics. They are committed to delivering innovative solutions to complex business challenges for a diverse range of clients. Their team is at the forefront of technological developments, continuously evolving with cutting-edge advancements. They offer a supportive and inclusive work environment where every team member's contribution is valued. This is an exciting opportunity to be part of a company that values innovation, collaboration, and professional growth. What's next: If you're ready to take your career to the next level with a role that offers challenge, innovation and professional growth, don't hesitate! Apply today by clicking on the link! Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
May 15, 2024
Full time
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Data Scientist Mayfair - Hybrid 95,000- 104,000 + Progression + Additional Training + Package Excellent opportunity for a Data Scientist with experience with ML to join a business really pushing the world of AI offering the chance to make a tangible difference to the safety of thousands of people every day, working with recognised experts in the field, and the opportunity to contribute significantly to the Machine Learning Team! This company use satellite imagery and AI, ML, and Computer Vision to help keep the merchant navies of the world safe from threats out in the ocean. They've refined their product where it can help predict with near 100% short-term accuracy the production of certain products too! In this role you will join the Machine Learning department to extract information using algorithms, conduct exploratory data analysis, train ML models, clean data, and build and maintain both CI/CD Pipelines and Python-based applications. You'll also send a significant amount of time looking into new and cutting edge technologies to see if any emerging tech can improve the product. The ideal candidate will be familiar with Machine Learning and either the Energy Market or Geospatial Data. Candidates must have strong Python, Cloud (GCP or AWS), Pandas, and SQL. Candidates will have experience of at least one of Scikit-Learn, Keras, Pytorch, or TensorFlow. Good communication skills and full right to work in the UK are both essential. This is a fantastic opportunity to join a forward thinking business offering truly fascinating work, the chance to contribute significantly to the overall product and it's capabilities, and the chance to make a dangerous job that bit safer for thousands of people every day. The Role: Joining the ML team Algorithms, exploratory data analysis, and training ML models Data Cleansing, build and maintenance of CI/CD pipelines and Python-based applications Exploring new technology On-site when required but Hybrid working The Person: Strong Python skills ML experience Energy or Geospatial Data experience GCP or AWS experience Pandas and SQL experience Scikit-learn, Keras, Pytorch, or TensorFlow experience Full rights to work in the UK Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts as an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
May 15, 2024
Full time
Data Scientist Mayfair - Hybrid 95,000- 104,000 + Progression + Additional Training + Package Excellent opportunity for a Data Scientist with experience with ML to join a business really pushing the world of AI offering the chance to make a tangible difference to the safety of thousands of people every day, working with recognised experts in the field, and the opportunity to contribute significantly to the Machine Learning Team! This company use satellite imagery and AI, ML, and Computer Vision to help keep the merchant navies of the world safe from threats out in the ocean. They've refined their product where it can help predict with near 100% short-term accuracy the production of certain products too! In this role you will join the Machine Learning department to extract information using algorithms, conduct exploratory data analysis, train ML models, clean data, and build and maintain both CI/CD Pipelines and Python-based applications. You'll also send a significant amount of time looking into new and cutting edge technologies to see if any emerging tech can improve the product. The ideal candidate will be familiar with Machine Learning and either the Energy Market or Geospatial Data. Candidates must have strong Python, Cloud (GCP or AWS), Pandas, and SQL. Candidates will have experience of at least one of Scikit-Learn, Keras, Pytorch, or TensorFlow. Good communication skills and full right to work in the UK are both essential. This is a fantastic opportunity to join a forward thinking business offering truly fascinating work, the chance to contribute significantly to the overall product and it's capabilities, and the chance to make a dangerous job that bit safer for thousands of people every day. The Role: Joining the ML team Algorithms, exploratory data analysis, and training ML models Data Cleansing, build and maintenance of CI/CD pipelines and Python-based applications Exploring new technology On-site when required but Hybrid working The Person: Strong Python skills ML experience Energy or Geospatial Data experience GCP or AWS experience Pandas and SQL experience Scikit-learn, Keras, Pytorch, or TensorFlow experience Full rights to work in the UK Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts as an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select
May 15, 2024
Full time
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select
Senior Data Scientist/AI NLP Engineer At QuantRisk, you'll have the chance to build a career as unique as you are, with the inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help QuantRisk become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Opportunity We live in a data rich World and more & more of our personal and business interactions are being driven by the application of advanced analytics and artificial intelligence (AI). At QuantRisk, we are helping organisations transform, to continually improve the way they 'do business' and lead in the market. We are doing this by challenging the norm, by taking on the 'too hard' problems and by helping organisations become insight driven . We have a fast-growing Data & Analytics practice within Consulting, where Data Science & AI NLP Engineers are at the tip of the spear for driving growth. Whether you are have a passion for NLP, love playing with Graphs or like writing AI-powered chat bots, we would really like to hear from you. Your Responsibilities We are looking to bring in talented people like you across all our grades. No day would be 'typical', but you could expect to be involved in some or all of the activities listed below during the course of your career: Leading the pursuit of new work through client conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring Data Science & AI Engineers Managing bid response work to articulate what value we can bring Skills & Attributes for Success Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the 'too hard' business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff. If you have some or all of the below, then get in touch: Professional experience in delivery of advanced analytics/DS/AI projects Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science libraries and understand how to apply them to various problem types Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Data wrangling and manipulation techniques Ideally, you'll also have Experience of working on cloud platforms Used a data visualisation technology, like Tableau, Power BI or Qlik Software engineering experience (e.g. coding standards, version control, testing, review) Experience of IoT Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail What we look for We're interested in intellectually curious people, with a genuine passion for finding and implementing innovative ways nurture growth. You'll also need excellent communication and negotiation skills. We'll look to you to have the ability to express big ideas to influence C-suite leaders while also having technical skills to architect the right solutions for clients. If you're ready to take ownership of a team that's poised to take the industry by storm, this role is for you. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply now.
May 15, 2024
Full time
Senior Data Scientist/AI NLP Engineer At QuantRisk, you'll have the chance to build a career as unique as you are, with the inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help QuantRisk become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Opportunity We live in a data rich World and more & more of our personal and business interactions are being driven by the application of advanced analytics and artificial intelligence (AI). At QuantRisk, we are helping organisations transform, to continually improve the way they 'do business' and lead in the market. We are doing this by challenging the norm, by taking on the 'too hard' problems and by helping organisations become insight driven . We have a fast-growing Data & Analytics practice within Consulting, where Data Science & AI NLP Engineers are at the tip of the spear for driving growth. Whether you are have a passion for NLP, love playing with Graphs or like writing AI-powered chat bots, we would really like to hear from you. Your Responsibilities We are looking to bring in talented people like you across all our grades. No day would be 'typical', but you could expect to be involved in some or all of the activities listed below during the course of your career: Leading the pursuit of new work through client conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring Data Science & AI Engineers Managing bid response work to articulate what value we can bring Skills & Attributes for Success Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the 'too hard' business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff. If you have some or all of the below, then get in touch: Professional experience in delivery of advanced analytics/DS/AI projects Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science libraries and understand how to apply them to various problem types Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Data wrangling and manipulation techniques Ideally, you'll also have Experience of working on cloud platforms Used a data visualisation technology, like Tableau, Power BI or Qlik Software engineering experience (e.g. coding standards, version control, testing, review) Experience of IoT Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail What we look for We're interested in intellectually curious people, with a genuine passion for finding and implementing innovative ways nurture growth. You'll also need excellent communication and negotiation skills. We'll look to you to have the ability to express big ideas to influence C-suite leaders while also having technical skills to architect the right solutions for clients. If you're ready to take ownership of a team that's poised to take the industry by storm, this role is for you. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply now.
ICF works on the key challenges of our times, supporting governments in the design, appraisal and delivery of policies and programmes across a wide range of issues - from migration, security, technology to health, food and the environment. Our Data Science Team works in partnership with experts across our business, applying data science methods to create innovative solutions for ICF clients in the UK and EU. The team's work has a particular focus on the application of data science to public policy research and analysis. We are looking for a Senior Data Scientist to contribute to the further growth and success of this team by applying expertise in data science to client projects and working closely with the team leader to provide coaching and line management to more junior data scientists. You will typically be working on a few projects at a time, interacting with all levels of ICF staff and external stakeholders. You will contribute to drafting research reports and proposals, and present findings to clients. We are particularly interested in candidates who can demonstrate a genuine interest in public policies in the areas we cover. We have a flexible, hybrid model in which you can balance working from home with use of our UK bases in London, Plymouth, Leeds and Birmingham. Skills, Knowledge and Experience We welcome applications from candidates with: At minimum, a Bachelor's degree in disciplines such as Data Science or Social Sciences. At least three years of practical experience within industry, government, or consulting in applying data-driven approaches to a variety of business scenarios, including creation and use of advanced analytics or machine learning algorithms. An understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameter tuning, NLP, and utilising LLMs. An understanding of the importance of effective communication with clients and experience of relaying complex technical concepts to diverse audiences. Proficiency in Python. Strong report writing and presentation skills. Excellent command of English language. Experience of (i) query languages such as SQL and (ii) working on proposals for client work would be advantageous but are not essential. Applicants must have the right to work in the UK. More about ICF ICF is a global consulting services company with over 9,000 full- and part-time employees, but we are not your typical consultants. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We give active support to career progression. We are committed to learning and personal development - providing in-house training programmes, access to our communities of practice and online learning resources. We provide a supportive, collegiate work environment. Our 'You Matter' programme enables recognition of colleague's contributions, support and success. Interested? Please submit a CV and cover letter HERE to start the conversation! ONLY applications with a cover letter will be considered About us: Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are committed to creating a culture where we embrace our differences in ideas and identities. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. Our people at ICF are our most important asset, so we invest in them from the moment they arrive. When you join our team, you'll have access to a vast array of benefits to help you live your life well. We offer a hybrid working policy, which will provide you with the flexibility to collaborate in the office, as well as in the comfort of your own home, ensuring you are able to successfully deliver the requirements of your role. To support you, our employee wellbeing hub is designed to provide highly personalised support across a comprehensive range of wellbeing issues, such as mind, body, finances, community, career programs and HR support. We enjoy celebrating success, which is why we have a competitive recognition program called 'You Matter', which awards points as a 'thank you' for your work achievements. These can be spent on a large variety of high-quality items, as well as online or high-street vouchers, all with zero tax payable by the employee. ICF also offers a range of competitive benefits, which include: Single Private Medical Insurance cover with no restrictions on existing conditions. Dental insurance and an online GP service. 25 days annual leave, plus UK bank holidays (annual leave increases with years of service). Pension scheme with 5% of salary employer contribution Life assurance paying 4x annual salary and Group Income Protection paying 66% of salary for up to 5 years if you are off work on long-term sick. Enhanced parental leave policies, enhanced maternity, paternity, adoption, and shared parental pay. ICF is a global consulting and technology services company with approximately 9,000 employees, but we are not your typical consultants. At ICF, business analysts and policy specialists work together with digital strategists, data scientists and creatives. We combine unmatched industry expertise with cutting-edge engagement capabilities to help organizations solve their most complex challenges. Since 1969, public and private sector clients have worked with ICF to navigate change and shape the future. Learn more at .
May 15, 2024
Full time
ICF works on the key challenges of our times, supporting governments in the design, appraisal and delivery of policies and programmes across a wide range of issues - from migration, security, technology to health, food and the environment. Our Data Science Team works in partnership with experts across our business, applying data science methods to create innovative solutions for ICF clients in the UK and EU. The team's work has a particular focus on the application of data science to public policy research and analysis. We are looking for a Senior Data Scientist to contribute to the further growth and success of this team by applying expertise in data science to client projects and working closely with the team leader to provide coaching and line management to more junior data scientists. You will typically be working on a few projects at a time, interacting with all levels of ICF staff and external stakeholders. You will contribute to drafting research reports and proposals, and present findings to clients. We are particularly interested in candidates who can demonstrate a genuine interest in public policies in the areas we cover. We have a flexible, hybrid model in which you can balance working from home with use of our UK bases in London, Plymouth, Leeds and Birmingham. Skills, Knowledge and Experience We welcome applications from candidates with: At minimum, a Bachelor's degree in disciplines such as Data Science or Social Sciences. At least three years of practical experience within industry, government, or consulting in applying data-driven approaches to a variety of business scenarios, including creation and use of advanced analytics or machine learning algorithms. An understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameter tuning, NLP, and utilising LLMs. An understanding of the importance of effective communication with clients and experience of relaying complex technical concepts to diverse audiences. Proficiency in Python. Strong report writing and presentation skills. Excellent command of English language. Experience of (i) query languages such as SQL and (ii) working on proposals for client work would be advantageous but are not essential. Applicants must have the right to work in the UK. More about ICF ICF is a global consulting services company with over 9,000 full- and part-time employees, but we are not your typical consultants. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We give active support to career progression. We are committed to learning and personal development - providing in-house training programmes, access to our communities of practice and online learning resources. We provide a supportive, collegiate work environment. Our 'You Matter' programme enables recognition of colleague's contributions, support and success. Interested? Please submit a CV and cover letter HERE to start the conversation! ONLY applications with a cover letter will be considered About us: Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are committed to creating a culture where we embrace our differences in ideas and identities. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. Our people at ICF are our most important asset, so we invest in them from the moment they arrive. When you join our team, you'll have access to a vast array of benefits to help you live your life well. We offer a hybrid working policy, which will provide you with the flexibility to collaborate in the office, as well as in the comfort of your own home, ensuring you are able to successfully deliver the requirements of your role. To support you, our employee wellbeing hub is designed to provide highly personalised support across a comprehensive range of wellbeing issues, such as mind, body, finances, community, career programs and HR support. We enjoy celebrating success, which is why we have a competitive recognition program called 'You Matter', which awards points as a 'thank you' for your work achievements. These can be spent on a large variety of high-quality items, as well as online or high-street vouchers, all with zero tax payable by the employee. ICF also offers a range of competitive benefits, which include: Single Private Medical Insurance cover with no restrictions on existing conditions. Dental insurance and an online GP service. 25 days annual leave, plus UK bank holidays (annual leave increases with years of service). Pension scheme with 5% of salary employer contribution Life assurance paying 4x annual salary and Group Income Protection paying 66% of salary for up to 5 years if you are off work on long-term sick. Enhanced parental leave policies, enhanced maternity, paternity, adoption, and shared parental pay. ICF is a global consulting and technology services company with approximately 9,000 employees, but we are not your typical consultants. At ICF, business analysts and policy specialists work together with digital strategists, data scientists and creatives. We combine unmatched industry expertise with cutting-edge engagement capabilities to help organizations solve their most complex challenges. Since 1969, public and private sector clients have worked with ICF to navigate change and shape the future. Learn more at .
Working with NLP, Machine Learning, and Other Related Areas Working with NLP, Machine Learning, graph mining, algo optimization, causal inference, and other related areas is beneficial. Programming Experience Programming experience with Python, Scala, Java, or strong knowledge of another OO or functional language is required. Experience with AWS, Spark, SQL Experience with AWS, Spark, SQL is also important. Benefits Benefits include , job_html
May 15, 2024
Full time
Working with NLP, Machine Learning, and Other Related Areas Working with NLP, Machine Learning, graph mining, algo optimization, causal inference, and other related areas is beneficial. Programming Experience Programming experience with Python, Scala, Java, or strong knowledge of another OO or functional language is required. Experience with AWS, Spark, SQL Experience with AWS, Spark, SQL is also important. Benefits Benefits include , job_html
An exciting opportunity has arisen in our high-profile data science team helping shape the future of insurance at Aviva through cutting-edge analytics. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice - providing new data-driven insights that improve decision making across the Aviva Group. A bit about the job: An exciting opportunity has arisen in our high-profile data science team helping shape the future of insurance at Aviva through cutting-edge analytics. You'll work with one of the richest insurance datasets in the world, applying sophisticated techniques and technology to all stages of the data science process. You'll lead a team helping to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution. Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice. Join us, and you'll have the chance to define a significant & measurable impact on Aviva. Skills and experience we're looking for: Highly numerate and educated to degree or postgraduate (MSc) in a meaningful field - Mathematics, Statistics, Computer Science You will bring several years' experience with a track record of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & AI You will have significant experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What's equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You'll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts to non-specialists What you'll get for this role: Our purpose - with you today, for a better tomorrow - is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. Bonus opportunity - 10% of annual salary. The actual amount depends on your performance and Aviva's. Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days. Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts. Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme. Brilliantly supportive policies including parental and carer's leave. Flexible benefits to suit you, including sustainability options such as cycle to work.
May 15, 2024
Full time
An exciting opportunity has arisen in our high-profile data science team helping shape the future of insurance at Aviva through cutting-edge analytics. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice - providing new data-driven insights that improve decision making across the Aviva Group. A bit about the job: An exciting opportunity has arisen in our high-profile data science team helping shape the future of insurance at Aviva through cutting-edge analytics. You'll work with one of the richest insurance datasets in the world, applying sophisticated techniques and technology to all stages of the data science process. You'll lead a team helping to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution. Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice. Join us, and you'll have the chance to define a significant & measurable impact on Aviva. Skills and experience we're looking for: Highly numerate and educated to degree or postgraduate (MSc) in a meaningful field - Mathematics, Statistics, Computer Science You will bring several years' experience with a track record of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & AI You will have significant experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What's equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You'll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts to non-specialists What you'll get for this role: Our purpose - with you today, for a better tomorrow - is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. Bonus opportunity - 10% of annual salary. The actual amount depends on your performance and Aviva's. Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days. Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts. Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme. Brilliantly supportive policies including parental and carer's leave. Flexible benefits to suit you, including sustainability options such as cycle to work.
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
May 15, 2024
Full time
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
May 15, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Job Title: Mid-Level Data Scientist/Data Engineer Location: Bristol, UK (Hybrid working) Industry: Reinsurance Contract Type: Permanent Salary Range: £50,000 to £60,000 per year Working Pattern: Full Time Our client, a leading organisation in the reinsurance industry, is seeking two talented and experienced Mid-Level Data Scientists/Data Engineers to join their team. Our client is at the forefront of cyber risk assessment and management, with a commitment to excellence and innovation that sets them apart in the field. Position Overview: As a Mid-Level Data Scientist/Data Engineer, you will play a crucial role in the development and operations of our client's automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines and integrating advanced machine learning components. It requires someone who thrives in a dynamic, agile environment. Key Responsibilities: - Automated Ingestion System Development: You will be responsible for designing, developing, and maintaining sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable. - ML Component Integration: You will integrate advanced machine learning components into data pipelines to enhance data processing and analysis capabilities. - Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and accuracy of ingested data. - Collaboration: You will work closely with data scientists, engineers, and other team members in a multifunctional agile development environment to meet project goals and timelines. - Innovation: Utilise modern NLP techniques to improve data understanding and processing. Stay up to date with the latest developments in data science and engineering to continually enhance our systems and processes. Qualifications: - Experience: You should have at least 3 years of experience in developing complex data ingestion pipelines with sophisticated machine learning components. Prior experience in the insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Why Join Our Client? - Impact: Make a significant impact on enhancing our client's data ingestion capabilities, directly contributing to their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards our collective goals. In addition to excellent career prospects, our client offers a range of perks including health insurance, hybrid working, life assurance, private medical coverage, a 5% pension contribution, 28 days of annual leave plus bank holidays, collaborative working, and a dog-friendly office. If you are a passionate and experienced Mid-Level Data Scientist/Data Engineer looking for an exciting opportunity in the reinsurance industry, apply now and join our client's team! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
May 15, 2024
Full time
Job Title: Mid-Level Data Scientist/Data Engineer Location: Bristol, UK (Hybrid working) Industry: Reinsurance Contract Type: Permanent Salary Range: £50,000 to £60,000 per year Working Pattern: Full Time Our client, a leading organisation in the reinsurance industry, is seeking two talented and experienced Mid-Level Data Scientists/Data Engineers to join their team. Our client is at the forefront of cyber risk assessment and management, with a commitment to excellence and innovation that sets them apart in the field. Position Overview: As a Mid-Level Data Scientist/Data Engineer, you will play a crucial role in the development and operations of our client's automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines and integrating advanced machine learning components. It requires someone who thrives in a dynamic, agile environment. Key Responsibilities: - Automated Ingestion System Development: You will be responsible for designing, developing, and maintaining sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable. - ML Component Integration: You will integrate advanced machine learning components into data pipelines to enhance data processing and analysis capabilities. - Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and accuracy of ingested data. - Collaboration: You will work closely with data scientists, engineers, and other team members in a multifunctional agile development environment to meet project goals and timelines. - Innovation: Utilise modern NLP techniques to improve data understanding and processing. Stay up to date with the latest developments in data science and engineering to continually enhance our systems and processes. Qualifications: - Experience: You should have at least 3 years of experience in developing complex data ingestion pipelines with sophisticated machine learning components. Prior experience in the insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Why Join Our Client? - Impact: Make a significant impact on enhancing our client's data ingestion capabilities, directly contributing to their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards our collective goals. In addition to excellent career prospects, our client offers a range of perks including health insurance, hybrid working, life assurance, private medical coverage, a 5% pension contribution, 28 days of annual leave plus bank holidays, collaborative working, and a dog-friendly office. If you are a passionate and experienced Mid-Level Data Scientist/Data Engineer looking for an exciting opportunity in the reinsurance industry, apply now and join our client's team! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.