Introduction
In this role, you'll work in one of our IBM Consulting Client Innovation Centres, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Your Role and Responsibilities
As a Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. techniques in your projects
Writing programs to cleanse and integrate data in an efficient and reusable manner
Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions
Evaluating modelling results and communicating the results to technical and non-technical audiences. Expected to have expertise of Advanced Analytics techniques that are traditionally applied to structured data, as well as deep understanding of Natural Language Processing and Machine Learning techniques for unstructured content, so as to enable composition of holistic cognitive solutions. You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python. You must be a resident in the UK and have been living continuously in the UK for the last 5 years.
We offer:
· Regular and frequent promotion and progression opportunities to ensure you can drive and develop your career with us
· Feedback and checkpoints throughout the year; no one off annual reviews here
· A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications
· Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
· A culture where your ideas for growth and innovation are always welcome
· Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
· Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, 1 month paid paternity leave, 16 weeks fully paid maternity leave and an innovative maternity returners scheme
· More traditional benefits, such as 25 days holiday, a gym discount scheme, online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future. Develop future roadmap of data processing capabilities:
Create implantation of data processes to transform raw service outputs according to data science use case needs. You must be a resident in the UK and have been living continuously in the UK for the last 5 years.
10 years of experience in cloud organizations or enterprise technology companies, including GTM Strategy, Strategy and Operations, Program Management, Management Consulting or similar fields. Experience with Google Cloud AI and Data Analytics products and services and the broader Google Cloud product and services portfolio. As a Data AI Go-To-Market (GTM) Leader at Google Cloud, you will build, lead, and develop a team of go-to-market specialists and sales specialists, bringing your experience and thought leadership to help create a direction and set a go-to-market strategy for EMEA. Collaborate with cross-functional teams to identify scaled market opportunities and curate data analytics and AI solutions that address broad customer pain points and drive business outcomes aligned with Google's strategy and competitive differentiation.
Ability to lift and move 50 lbs of equipment under raised floors, and the required use of OSHA standard safety equipment such as limited weight bearing work platforms, ladders, step stools, and personal protective equipment (PPE). Knowledge of electrical systems used in a data center environment (e. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
We are looking for a passionate and dynamic Data Analytics Engineer who would like to play a role in the future of the business through innovative in-house built solutions. You will have the opportunity to work with Portfolio Managers and Investment Teams to actively enhance Trading & Analytics software. Collaborate with your peers - You will provide and receive direct and regular feedback from your team and internal customers. You have a passion for data analytics and problem solving - You have hands-on experience with Python, SQL, and common data analytics tools. You are driven to being a top developer - You are the go-to dev in your team (or even your organization). You have a keen interest in the financial industry - You are eager to learn about the financial industry from your work, peers, and industry experts. You can balance writing clean and quality code with execution and delivery - You have a strong work ethic and are able to balance working in a fast-paced environment with writing quality code. We believe in developing, mentoring, and training our people - We are a passionate, dynamic, and high-performing team who believe in developing our own people. We provide a competitive compensation and comprehensive benefits package - Our compensation package includes a combination of competitive base salary, bonus, and opportunity for profit sharing, 20 days' vacation, comprehensive health/vision/dental benefit package, and fitness allowance. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
The technician will be responsible for creating reports and dashboards using business analytics and reporting tools, providing critical insights that inform business and budget decisions, support business cases and strategic initiatives. Data Reporting: Create and prepare reports and dashboards using business analytics tools, ensuring data integrity to enable effective business decisions and long-term planning. The ideal candidate will have a proven track record in data analysis, capable of building datasets and interpreting data to form conclusions and make actionable recommendations. We have a range of benefits that recognise great work, and award-winning training to help you reach your potential.
Minimum Qualifications * 5+ years of program management, product management, systems engineering or equivalent experience * Excellent project management skills to drive schedules, dependencies, critical path and risks * Solid technical understanding of large scale distributed software systems, event streaming, data pipelines, distributed databases, cloud architecture * Strong relationship management and facilitation skills both within diverse engineering teams and cross functional organizations * Excellent verbal and written communication and presentation skills, including the ability to convey information in a clear, concise and credible manner * Experience with release planning and SDLC methodologies * Familiarity with system reliability engineering (SRE) process and deliverables * Strong facilitation skills (requirements sessions, design meetings, progress and status meetings) Preferred Qualifications * Experience working with globally distributed teams * Experience building feature and technical roadmaps * Ability to identify gaps in solutions, debate approaches, and weigh in on tradeoffs * Familiarity with open-source software development processes * BS/MS in Computer Science, Engineering, or similar technical field or at least 5+ years of comparable experience Description The Cloud Infrastructure team, as part of the Apple Services Engineering organization, is seeking an exceptional Engineering Program Manager (EPM) who is passionate about Apple's products and values, and who loves working with infrastructure technologies at scale.
Job Title: Senior - Data Scientist - with a focus on Generative AI & Machine Learning (Financial Services)
Location: UK FSO
Service Line: Tax FSO
AI - Tax Technology and Transformation at EY
The world of Financial Services (FS) Tax is undergoing a fundamental and long-term evolution as tax authorities globally seek to digitise existing tax regimes. Contribute to the creation of AI proofs of concept (POCs), demonstrating the practical applications and benefits of AI in the financial services sector. Familiar with frameworks and GenAI tools including LangChain, AutoGen, OpenAI and Ollama
Formal training and hands-on experience in data science, including the use of relevant tools and programming languages (e. At least 3 years of relevant experience in data science/developer role, preferably within the financial services industry.
The ability to summarize results and present recommendations to business partners and a good understanding of SQL and relational databases will be important. Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team
Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent
Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive
EQUAL OPPORTUNITIES
We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion.
Built and led by Dmitry Tokarev, a software and financial engineering specialist, the firm provides a comprehensive suite of custody, trading and settlement solutions that reduce counterparty risk and bring greater capital and operational efficiency to digital asset markets. By reducing settlement time for transfers to a few milliseconds (without blockchain network dependency) and offering enhanced security measures, ClearLoop™ is rapidly reshaping the way asset managers trade and manage capital. In addition to industry-leading security certifications, Copper has one of the strongest insurance coverages in the industry from an A+ rated insurer, positioning the firm as the partner of choice for institutions seeking to safeguard their assets. Snowflake, Google BigQuery, Amazon Redshift)
Experience with data tools: Hadoop, Spark, Kafka, etc. Medical history is disregarded, and a 24/7 virtual GP is available (£100 excess per person per year)
Dental Insurance: Comprehensive dental cover for preventative, restorative and emergency treatment
Audiology Cover: Employees can claim back up 80% of costs, up to £300, for any hearing tests or hearing aids
Optical Cover: £500 optical cover (through Vision Express) or 80% reimbursement up to £300 for any other optician
Menopause Support: Unlimited support for those experiencing symptoms of the menopause, such as video consultations with a dedicated menopause practitioner
Vitality services also include an additional £100 for minor diagnostic tests and private prescriptions, including home diagnostics
Headspace - Copper's policy provides all employees with a free Headspace subscription. If you require us to provide any assistance during the recruitment process, then we would ask you to highlight this to us and we will be happy to accommodate.